Microeconomicss: Theory and Applications with Calculus (5版)
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【原文書】
書名:Microeconomics: Theory and Applications with Calculus 5/E
作者:Perloff
出版社:Pearson
出版日期:2022
ISBN:9781292359120
原價:
1570
售價:
1492
現省:
78元
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個體經濟學
系列名:智勝經管系列
ISBN13:9789575119393
出版社:智勝文化
作者:楊雲明
裝訂/頁數:平裝/752頁
規格:26cm*19cm*3.7cm (高/寬/厚)
版次:6
出版日:2023/01/01
中文圖書分類:經濟學各論
內容簡介
提綱挈領地介紹學習目的
每章於章名頁開始均會介紹該章的學習目的,以使讀者清楚地明白該章學習的主要內容與其應用方向。
豐富的例題與練習題供讀者即時演練
每節(或每段)中均會有例題供教師教學及讀者立即演練之用,以收自我檢視學習的作用,如此可避免部分讀者在含糊讀完整章後,才發現讀得懵懵懂懂、似是而非。
區別難度的練習題
於各章結尾均附有練習題,其中「A.基礎練習」與「B.進階練習」係按難易程度來區別,以利不同教師與讀者之需求應用,其中,A大題的題目在求解過程中不會運用到微積分的運算;而B大題則較為深入,部分題目於求解過程中會使用到簡易微積分。
充沛的選擇題以供自我檢視
練習題中除了A、B兩部分的繪圖、計算題之外,還包含了約30~50題的選擇題供讀者自我檢試讀書成效,其中,又分為「C.選擇題」與「D.國家考試選擇題」兩大類,可供有志於擔任國家公僕的讀者練習。
「觀察室」的設立
本書在各章節中會以個案討論的「觀察室」來探討一些易於混淆的觀念及日常生活中的應用實例,以使讀者釐清一些似是而非的觀念,並加強理論與實務相結合。
數理分析的深入解析
個體經濟學中自然包含一些較艱澀的數理部分,為節省本書篇幅,但又顧及部分讀者的進階需求,這些數理分析內容均置於智勝網站,以供讀者參考。
教學配件:教師教學PowerPoint、教師手冊、題庫
本書搭配:線上題庫
目錄
第01章 緒論
第02章 需求-供給模型
第03章 彈性與彈性之應用
第04章 偏好與消費限制
第05章 消費者均衡與變動
第06章 Slutsky方程式
第07章 福利變動的測度
第08章 勞動供給
第09章 顯示性偏好理論與指數
第10章 跨期下的消費決策
第11章 不確定下的消費決策
第12章 生產函數
第13章 成本函數
第14章 完全競爭市場:廠商決策與市場均衡
第15章 完全競爭市場的應用
第16章 獨占市場
第17章 獨占廠商的差別取價
第18章 不完全競爭市場
第19章 賽局理論
第20章 生產要素市場
第21章 一般均衡與經濟效率
第22章 外部性與公共財
第23章 訊息經濟學
第24章 貿易政策效果分析
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Understandable Statistics (13版)
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【簡介】
Overcome any apprehension you may have as you master statistics with Brase/Brase/Seibert/Dolor's UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, 13th Edition. This thorough, yet reader-friendly, program provides clear guidance and informal advice while showing you the connections between statistics and today's world. This intriguing presentation incorporates current, real data drawn from contemporary journals, periodicals and news sources. Updated learning features and exercises help you strengthen critical-thinking skills and your statistical literacy. Optional coverage also shows you how to use graphing calculators, Excel, Minitab and other statistical software. An easy-to-use, integrated Statistical Analysis and Learning Tool (SALT) demonstrates how to manipulate data sets and better understand the meaning behind the data. In addition, online homework available through WebAssign provides videos, interactive visual data, online stats labs and other resources to guide you in learning statistics.
【目錄】
1. Getting Started.
Introduces the subject, presents random samples and an introduction to experimental design.
2. Organizing Data.
Histograms, graphs, stem-and l-leaf displays.
3. Averages and Variation.
4. Elementary Probability Theory.
5. The Binomial Probability Distribution and Related Topics.
6. Normal Curves and Sampling Distributions.
Part I: Normal Distributions.
Part II: Sampling Distributions and the Normal Approximation to Binomial Distribution.
7. Estimation.
Part I: Estimating a Single Mean or Single Proportion.
Part II: Estimating the Difference Between Two Means or Two Proportions.
8. Hypothesis Testing.
Part I: Testing a Single Mean or Single Proportion.
Part II: Testing a Difference Between Two Means or Two Proportions.
9. Correlation and Regression.
Part I: Simple Linear Regression.
Part II: Multiple Regression.
10. Chi-Square and F Distributions.
Part I: Inferences Using the Chi-Square Distribution.
Part II: Inferences Using the F Distribution.
11. Nonparametric Statistics.
Appendix includes brief discussion of Bayes' Theorem and Hypergeometric Distribution.
原價:
1740
售價:
1653
現省:
87元
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The Economics of Money, Banking and Financial Markets (13版)
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The Economics of Money, Banking and Financial Markets (GE)
作 / 譯 者 : Frederic S. Mishkin
I S B N - 13 : 9781292409481
I S B N -
類 別: 貨幣 /貨幣理論及政策
版 次: 13 版
年 份: 2022
規 格: 717 頁
出 版 商: Pearson Education
內容簡介
The Economics of Money, Banking and Financial Markets brings a fresh perspective to today's major questions surrounding financial policy. Influenced by his term as Governor of the Federal Reserve, Frederic Mishkin offers students a unique viewpoint and informed insight into the monetary policy process, the regulation and supervision of the financial system, and the internationalization of financial markets. The 13th Edition provides a unifying, analytical framework for learning that fits a wide variety of syllabi. And core economic principles and real-world examples organize students' thinking and keep them motivated. After reading this text, students are well equipped to apply these financial models, terms, and equations to decisions that affect both their personal and professional lives.
目錄
PART I: INTRODUCTION
Ch 1 Why Study Money, Banking, and Financial Markets?
Ch 2 An Overview of the Financial System
Ch 3 What Is Money?
PART II: FINANCIAL MARKETS
Ch 4 The Meaning of Interest Rates
Ch 5 The Behavior of Interest Rates
Ch 6 The Risk and Term Structure of Interest Rates
Ch 7 The Stock Market, the Theory of Rational Expectations, and the Efficient Market Hypothesis
PART III: FINANCIAL INSTITUTIONS
Ch 8 An Economic Analysis of Financial Structure
Ch 9 Banking and the Management of Financial Institutions
Ch10 Economic Analysis of Financial Regulation
Ch11 Banking Industry: Structure and Competition
Ch12 Financial Crises in Advanced Economies
Ch13 Financial Crises in Emerging Market Economies
PART IV: CENTRAL BANKING AND THE CONDUCT OF MONETARY POLICY
Ch14 Central Banks
Ch15 The Money Supply Process
Ch16 Tools of Monetary Policy
Ch17 The Conduct of Monetary Policy: Strategy and Tactics
PART V: INTERNATIONAL FINANCE AND MONETARY POLICY
Ch18 The Foreign Exchange Market
Ch19 The International Financial System
PART VI: MONETARY THEORY
Ch20 Quantity Theory, Inflation, and the Demand for Money
Ch21 The IS Curve
Ch22 The Monetary Policy and Aggregate Demand Curves
Ch23 Aggregate Demand and Supply Analysis
Ch24 Monetary Policy Theory
Ch25 The Role of Expectations in Monetary Policy
Ch26 Transmission Mechanisms of Monetary Policy
原價:
1680
售價:
1509
現省:
171元
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Microeconomics (6版)
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Microeconomics 6/e
作者:David Besanko, Ronald Braeutigam
ISBN:9781119666226
版次:6
年份:2020
出版商:John Wiley
頁數/規格:856頁/平裝雙色
簡介
Description
Microeconomics is a classroom-tested resource for learning the key concepts, essential tools, and applications of microeconomics. This leading textbook enables students to recognize and analyze significant data, patterns, and trends in real markets through its integrated, student-friendly approach to the subject — providing practice problems, hands-on exercises, illustrative examples, and engaging applications that ground theory firmly in the real world. Each chapter, opening with a set of clearly defined learning goals based on the Bloom Taxonomy, features numerous Learning-by-Doing (LBD) problems, mathematical and graphical data, and varied problem sets focused on current events.
Now in its sixth edition, the text offers extensive new and revised content throughout. All applications reflect current data and important new developments in the field of economics, including behavioral economics, randomized controlled trials (RCTs) in policy evaluation and design, and computational-based microeconomics. Updated chapter openers, designed to increase student interest, cover topics including the economic impacts of climate change, U.S. household income and spending, surge pricing by Uber and Lyft, the effect of immigration on wages, and advances in robotics, automation, artificial intelligence, and more.
目錄
Table of Contents
PART 1 INTRODUCTION TO MICROECONOMICS
1. Analyzing Economic Problems
2. Demand and Supply Analysis
PART 2 CONSUMER THEORY
3. Consumer Preferences and the Concept of Utility
4. Consumer Choice
5. The Theory of Demand
PART 3 PRODUCTION AND COST THEORY
6. Inputs and Production Functions
7. Costs and Cost Minimization
8. Cost Curves
PART 4 PERFECT COMPETITION
9. Perfectly Competitive Markets
10. Competitive Markets: Applications
PART 5 MARKET POWER
11. Monopoly and Monopsony
12. Capturing Surplus
PART 6 IMPERFECT COMPETITION AND STRATEGIC BEHAVIOR
13. Market Structure and Competition
14. Game Theory and Strategic Behavior
PART 7 SPECIAL TOPICS
15. Risk and Information
16. General Equilibrium Theory
17. Externalities and Public Goods
Mathematical Appendix
Solutions to Selected Problems
Glossary
Index
原價:
1880
售價:
1767
現省:
113元
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Statistics for Business and Economics (15版)
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內容描述:
●ENGAGING CASE PROBLEMS PROVIDE ADDITIONAL OPPORTUNITIES TO PRACTICE SKILLS. Approximately 50 case problems in this edition provide students with opportunities to put what they’ve learned into action. Students work on more complex problems, analyze larger data sets and prepare managerial reports based on the results of their analyses.
●APPENDICES AND FIGURES HIGHLIGHT TODAY'S LATEST PROFESSIONAL SOFTWARE. All step-by-step instructions in this edition's software appendices and all textbook figures featuring software output now reference the latest versions of Excel, JMP® Student Edition and R (online only). Students gain important hands-on experience using these popular professional statistical analysis software tools.
●PROVEN, SYSTEMATIC APPROACH EMPHASIZES PROVEN METHODS AND APPLICATIONS. Students first develop a computational foundation and master the use of techniques before moving to statistical application and interpretation of the value of techniques. Methods Exercises at the end of each section stress computation and the use of formulas, while Application Exercises require students to apply what they know about statistics to real-world problems.
●SIGNIFICANTLY EXPANDED SOFTWARE SUPPORT FOR R PREPARES STUDENTS TO USE THIS IMPORTANT TOOL. Revised eBook and WebAssign digital chapter appendices now include relevant examples for easy reference. In addition, all scripts are updated to ensure compatibility with the most recent versions of R. The authors have also expanded the number of the scripts and .csv data sets to support the major chapter examples, application problems and cases.
●REORGANIZED AND EXPANDED CONTENT IN REGRESSION ANALYSIS AND MODEL BUILDING (CH. 16) CLARIFIES CONCEPTS. The authors have strengthened content throughout this chapter. For instance, the authors have added discussion that compares a regression model with a transformed dependent variable to a regression model using the untransformed dependent variable in the original units. In addition, this chapter includes a new example that illustrates the use of the Durbin-Watson statistic to test the presence of first-order autocorrelation.
●NEW PROBLEMS, CASES AND VIGNETTES KEEP CONTENT FRESH AND CURRENT. This edition includes more than 100 additional new problems as well as three new cases. In addition, the authors have added three new Statistic in Practice vignettes that reflect current challenges in statistics.
●UPDATED JMP CHAPTER APPENDICES REFLECT THE MOST RECENT VERSION OF JMP STATISTICAL SOFWARE. All JMP chapter appendices in both the printed or eBook incorporate changes to the most recent student version of JMP® -- JMP® Student Edition 16. You can be sure your students are able to work with the latest statistics digital support.
●TRUSTED TEAM OF DISTINGUISHED AUTHORS ENSURES THE MOST ACCURATE, PROVEN PRESENTATION. Prominent leaders and active consultants in business and statistics, this edition's authors Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney and Thomas A. Williams work seamlessly to deliver an accurate, real-world presentation of statistical concepts that you can trust for accuracy and comprehensive, engaging content.
●WEBASSIGN COURSE MANAGEMENT SOLUTION OFFERS A COMPREHENSIVE TEACHING TOOL FOR BUSINESS STATISTICS. This flexible and fully customizable platform puts powerful, time-saving tools in your hands. You can easily deploy assignments, instantly assess individual student and class performance and help struggling students master the course concepts. With WebAssign’s powerful digital platform and this edition's specific content, you can tailor your course with a wide range of assignment settings. Add your own questions and content and access student and course analytics and communication tools.
●NEW LEARNING OBJECTIVES DRAW STUDENT ATTENTION TO KEY CONCEPTS. This edition's new learning objectives, that now appear at the beginning of each chapter, detail and explain the key concepts that are covered in each chapter. These new learning objectives are also mapped to each problem so you can easily identify which problems are addressing specific individual learning objective for focused instruction.
●INTRIGUING EXAMPLES INCORPORATE REAL MEANINGFUL DATA. More than 100 new examples and exercises incorporate real data and reference timely sources to bring statistical concepts to life. The authors draw data from sources used by The Wall Street Journal, USA Today, Barron's and other leading publications. Using actual studies and applications, the authors present clear explanations and create exercises that demonstrate the many uses of statistics in business and economics today. In total, this edition provides more than 350 helpful examples and exercises.
內容描述(中文翻譯)
●引人入勝的案例問題提供了額外的練習機會。本版中約有50個案例問題,讓學生有機會將所學知識付諸實踐。學生將處理更複雜的問題,分析更大的數據集,並根據分析結果準備管理報告。
●附錄和圖表突出了當今最新的專業軟件。本版的軟件附錄中的逐步指導和所有包含軟件輸出的教科書圖表現在引用的是最新版本的Excel、JMP®學生版和R(僅限線上)。學生通過使用這些流行的專業統計分析軟件工具獲得重要的實踐經驗。
●經過驗證的系統化方法強調經過驗證的方法和應用。學生首先建立計算基礎,掌握技巧的使用,然後再進行統計應用和技巧價值的解釋。每個章節結束時的方法練習強調計算和公式的使用,而應用練習要求學生將所學統計知識應用於現實問題。
●大幅擴展的R軟件支持使學生能夠使用這個重要的工具。修訂的電子書和WebAssign數字章節附錄現在包含相關的示例,以便輕鬆參考。此外,所有腳本都已更新,以確保與最新版本的R兼容。作者還擴展了腳本和.csv數據集的數量,以支持主要章節的示例、應用問題和案例。
●重新組織和擴展的迴歸分析和模型構建(第16章)充分解釋了概念。作者在整個章節中加強了內容。例如,作者增加了一個討論,比較了使用轉換後的因變量的迴歸模型與使用未轉換的原始單位的迴歸模型。此外,本章還包括一個新的示例,說明了使用Durbin-Watson統計量來檢驗一階自相關的存在。
●新的問題、案例和短篇故事使內容保持新鮮和時下。本版新增了100多個新問題和三個新案例。此外,作者還增加了三個新的實踐統計短篇故事,反映了統計學中的當前挑戰。
●更新的JMP章節附錄反映了JMP統計軟件的最新版本。無論是印刷版還是電子書中的所有JMP章節附錄都包含對最新的JMP®學生版16進行的更改。您可以確保學生能夠使用最新的統計數字支持。
●備受信賴的傑出作者團隊確保最準確、經過驗證的呈現方式。本版的作者Jeffrey D. Camm、James J. Cochran、Michael J. Fry、Jeffrey W. Ohlmann、David R. Anderson、Dennis J. Sweeney和Thomas A. Williams是商業和統計領域的知名領導者和活躍顧問,他們無縫合作,提供準確、現實世界的統計概念呈現,您可以信賴其準確性和全面、引人入勝的內容。
●WebAssign課程管理解決方案為商業統計提供了全面的教學工具。這個靈活且可完全自定義的平台為您提供了強大的節省時間的工具。您可以輕鬆部署作業,即時評估個別學生和班級表現,並幫助有困難的學生掌握課程概念。通過WebAssign強大的數字平台和本版的特定內容,您可以根據各種作業設置來定制課程。添加自己的問題和內容,並訪問學生和課程分析以及溝通工具。
●新的學習目標引起學生對關鍵概念的注意。本版的學習目標引導學生關注關鍵概念。
作者簡介
Jeffrey D. Camm is the Inmar Presidential Chair of Analytics and Senior Associate Dean of Business Analytics programs in the School of Business at Wake Forest University. Born in Cincinnati, Ohio, he holds a B.S. from Xavier University (Ohio) and a Ph.D. from Clemson University. Prior to joining the faculty at Wake Forest, Dr. Camm served on the faculty of the University of Cincinnati. He has also been a visiting scholar at Stanford University and a visiting professor of business administration at the Tuck School of Business at Dartmouth College. Dr. Camm has published more than 45 papers in the general area of optimization applied to problems in operations management and marketing. He has published his research in Science, Management Science, Operations Research, Interfaces and other professional journals. Dr. Camm was named the Dornoff Fellow of Teaching Excellence at the University of Cincinnati and he was the recipient of the 2006 INFORMS Prize for the Teaching of Operations Research Practice. A firm believer in practicing what he preaches, he has served as an operations research consultant to numerous companies and government agencies. From 2005 to 2010, Dr. Camm served as editor-in-chief of INFORMS Journal of Applied Analytics (formerly Interfaces). In 2017, he was named an INFORMS fellow.
James J. Cochran is Professor of Applied Statistics, the Rogers-Spivey Faculty Fellow and Associate Dean for Faculty and Research at the University of Alabama. Born in Dayton, Ohio, he earned his B.S., M.S., and M.B.A. degrees from Wright State University and his Ph.D. from the University of Cincinnati. Dr. Cochran has served at The University of Alabama since 2014 and has been a visiting scholar at Stanford University, Universidad de Talca, the University of South Africa and Pole Universitaire Leonard de Vinci. Dr. Cochran has published more than 45 papers in the development and application of operations research and statistical methods. He has published his research in Management Science, The American Statistician, Communications in Statistics-Theory and Methods, Annals of Operations Research, European Journal of Operational Research, Journal of Combinatorial Optimization, INFORMS Journal of Applied Analytics and Statistics and Probability Letters. He was the 2008 recipient of the INFORMS Prize for the Teaching of Operations Research Practice and the 2010 recipient of the Mu Sigma Rho Statistical Education Award. Dr. Cochran was elected to the International Statistics Institute in 2005 and named a fellow of the American Statistical Association in 2011. He received the Founders Award in 2014 and the Karl E. Peace Award in 2015 from the American Statistical Association. In 2017 he received the American Statistical Association’s Waller Distinguished Teaching Career Award and was named a fellow of INFORMS. In 2018 he received the INFORMS President’s Award. A strong advocate for effective statistics and operations research education as a means of improving the quality of applications to real problems, Dr. Cochran has organized and chaired teaching workshops throughout the world.
Michael J. Fry is Professor of Operations, Business Analytics and Information Systems and Academic Director of the Center for Business Analytics in the Carl H. Lindner College of Business at the University of Cincinnati. Born in Killeen, Texas, he earned a B.S. from Texas A&M University and his M.S.E. and Ph.D. from the University of Michigan. He has been at the University of Cincinnati since 2002, where he was previously department head. Dr. Fry has been named a Lindner Research Fellow. He has also been a visiting professor at the Samuel Curtis Johnson Graduate School of Management at Cornell University and the Sauder School of Business at the University of British Columbia. Dr. Fry has published more than 25 research papers in journals such as Operations Research, M&SOM, Transportation Science, Naval Research Logistics, IISE Transactions, Critical Care Medicine and INFORMS Journal of Applied Analytics (formerly Interfaces). His research interests are in applying quantitative management methods to the areas of supply chain analytics, sports analytics and public-policy operations. He has worked with many organizations for his research, including Dell, Inc., Starbucks Coffee Company, Great American Insurance Group, the Cincinnati Fire Department, the State of Ohio Election Commission, the Cincinnati Bengals and the Cincinnati Zoo and Botanical Garden. Dr. Fry was named a finalist for the Daniel H. Wagner Prize for Excellence in Operations Research Practice, and he has been recognized for both his research and teaching excellence at the University of Cincinnati.
Jeffrey W. Ohlmann is Associate Professor of Management Sciences and Huneke Research Fellow in the Tippie College of Business at the University of Iowa. Born in Valentine, Nebraska, he earned a B.S. from the University of Nebraska, and his M.S. and Ph.D. from the University of Michigan. He has been at the University of Iowa since 2003. Dr. Ohlmann’s research on the modeling and solution of decision-making problems has produced more than two dozen research papers in journals such as Operations Research, Mathematics of Operations Research, INFORMS Journal on Computing, Transportation Science, the European Journal of Operational Research and INFORMS Journal of Applied Analytics (formerly Interfaces). He has collaborated with companies such as Transfreight, LeanCor, Cargill, the Hamilton County Board of Elections as well as three National Football League franchises. Because of the relevance of his work to industry, he was bestowed the George B. Dantzig Dissertation Award and was recognized as a finalist for the Daniel H. Wagner Prize for Excellence in Operations Research Practice.
David R. Anderson is a leading author and professor emeritus of quantitative analysis in the College of Business Administration at the University of Cincinnati. Dr. Anderson has served as head of the Department of Quantitative Analysis and Operations Management and as associate dean of the College of Business Administration. He was also coordinator of the college’s first executive program. In addition to introductory statistics for business students, Dr. Anderson taught graduate-level courses in regression analysis, multivariate analysis and management science. He also taught statistical courses at the Department of Labor in Washington, D.C. Dr. Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the co-author of ten well-respected textbooks related to decision sciences, and he actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, Dr. Anderson earned his B.S., M.S. and Ph.D. degrees from Purdue University.
Dennis J. Sweeney is professor emeritus of quantitative analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned a B.S.B.A. degree from Drake University and his M.B.A. and D.B.A. degrees from Indiana University, where he was an NDEA fellow. Dr. Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. He also served as head of the Department of Quantitative Analysis and served four years as associate dean of the College of Business Administration at the University of Cincinnati. Dr. Sweeney has published more than 30 articles and monographs in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger and Cincinnati Gas & Electric have funded his research, which has been published in journals such as Management Science, Operations Research, Mathematical Programming and Decision Sciences. Dr. Sweeney has co-authored ten textbooks in the areas of statistics, management science, linear programming and production and operations management.
作者簡介(中文翻譯)
Jeffrey D. Camm是威克森林大學商學院的Inmar總統主席和商業分析課程的高級副院長。他出生於俄亥俄州辛辛那提市,擁有賽維爾大學(俄亥俄州)的學士學位和克萊姆森大學的博士學位。在加入威克森林大學教職之前,Camm博士曾在辛辛那提大學任教。他還曾在斯坦福大學擔任訪問學者,並在達特茅斯學院塔克商學院擔任商業管理訪問教授。Camm博士在優化應用於運營管理和市場營銷問題領域發表了45多篇論文。他的研究發表在《科學》、《管理科學》、《運營研究》、《界面》和其他專業期刊上。Camm博士曾獲得辛辛那提大學的Dornoff卓越教學研究員稱號,並於2006年獲得INFORMS運營研究實踐教學獎。作為實踐所言的堅定信徒,他曾擔任多家公司和政府機構的運營研究顧問。從2005年到2010年,Camm博士擔任INFORMS應用分析學報(前身為Interfaces)的主編。2017年,他被任命為INFORMS院士。
James J. Cochran是阿拉巴馬大學應用統計學教授,Rogers-Spivey教職研究員和教職員研究副院長。他出生於俄亥俄州代頓市,獲得萊特州立大學的學士、碩士和工商管理碩士學位,以及辛辛那提大學的博士學位。Cochran博士自2014年起在阿拉巴馬大學任職,並曾在斯坦福大學、塔爾卡大學、南非大學和康卡迪亞大學進行訪問學者研究。Cochran博士在運營研究和統計方法的發展和應用方面發表了45多篇論文。他的研究發表在《管理科學》、《美國統計學家》、《統計學與機率通訊》、《運營研究年鑒》、《歐洲運營研究期刊》、《組合優化學報》、《INFORMS應用分析和統計學》以及《統計學和概率信函》等期刊上。他於2008年獲得INFORMS運營研究實踐教學獎,並於2010年獲得Mu Sigma Rho統計教育獎。Cochran博士於2005年當選國際統計學會會員,並於2011年成為美國統計學會院士。他於2014年獲得創始人獎和2015年獲得卡爾·E·皮斯獎,這兩個獎項都是由美國統計學會頒發的。2017年,他獲得美國統計學會的Waller杰出教學生涯獎,並被任命為INFORMS院士。2018年,他獲得INFORMS主席獎。Cochran博士是有效統計和運營研究教育的堅定支持者,認為這是改善實際問題應用質量的手段,他組織並主持了世界各地的教學研討會。
Michael J. Fry是辛辛那提大學林德納商學院的運營、商業分析和信息系統教授,商業分析中心的學術主任。他出生於德克薩斯州基林市,獲得德克薩斯農工大學的學士學位和密歇根大學的碩士和博士學位。他自2002年起在辛辛那提大學任職,曾擔任系主任。Fry博士被任命為林德納研究研究員。他還曾在康奈爾大學塞繆爾·柯蒂斯·約翰遜研究生管理學院和英屬哥倫比亞大學Sauder商學院擔任訪問教授。Fry博士在《運營研究》、《M&SOM》、《Tra》等期刊上發表了25多篇研究論文。
目錄大綱
1. Data and Statistics.
2. Descriptive Statistics: Tabular and Graphical Displays.
3. Descriptive Statistics: Numerical Measures.
4. Introduction to Probability.
5. Discrete Probability Distributions.
6. Continuous Probability Distributions.
7. Sampling and Sampling Distributions.
8. Interval Estimation.
9. Hypothesis Tests.
10. Inference about Means and Proportions with Two Populations.
11. Inferences about Population Variances.
12. Comparing Multiple Proportions, Test of Independence and Goodness of Fit.
13. Experimental Design and Analysis of Variance.
14. Simple Linear Regression.
15. Multiple Regression.
16. Regression Analysis: Model Building.
17. Time Series Analysis and Forecasting.
18. Nonparametric Methods.
19. Decision Analysis.
20. Index Numbers.
21. Statistical Methods for Quality Control.
22. Sample Survey.
Appendix A. References and Bibliography.
Appendix B. Tables.
Appendix C. Summation Notation.
Appendix D. Microsoft Excel and Tools for Statistical Analysis.
Appendix E. Computing p-Values Using JMP and Excel.
Appendix F: Microsoft Excel Online and Tools for Statistical Analysis.
Appendix G: Solutions to Even-Numbered Exercises (Cengage eBook).
目錄大綱(中文翻譯)
1. 數據與統計。
2. 描述性統計:表格和圖形展示。
3. 描述性統計:數值測量。
4. 概率入門。
5. 離散概率分佈。
6. 連續概率分佈。
7. 抽樣和抽樣分佈。
8. 區間估計。
9. 假設檢驗。
10. 關於兩個母體的平均值和比例的推論。
11. 關於母體變異數的推論。
12. 比較多個比例、獨立性檢驗和適合度檢驗。
13. 實驗設計和變異數分析。
14. 簡單線性回歸。
15. 多元回歸。
16. 回歸分析:模型建立。
17. 時間序列分析和預測。
18. 非參數方法。
19. 決策分析。
20. 指數數字。
21. 品質控制的統計方法。
22. 樣本調查。
附錄A. 參考文獻。
附錄B. 表格。
附錄C. 總和符號。
附錄D. Microsoft Excel和統計分析工具。
附錄E. 使用JMP和Excel計算p值。
附錄F. Microsoft Excel線上和統計分析工具。
附錄G:偶數編號練習的解答(Cengage電子書)。
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Corporate Finance (13版)
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Corporate Finance (ISE)
作 / 譯 者 : Stephen Ross,Randolph Westerfield,Jeffrey Jaffe,Bradford D. Jordan
I S B N - 13 : 9781265533199
I S B N - 10 : 1265533199
類 別: 財務管理
版 次: 13 版
年 份: 2022
規 格: 1022 頁
出 版 商: McGraw Hill Education
內容簡介
1. Written for the introductory corporate finance course at the MBA level and intermediate courses in many undergraduate programs.
2. Presents corporate finance as the working of a small number of integrated and powerful intuitions rather than a collection of unrelated topics.
3. Emphasizes the modern fundamentals of the theory of finance while providing contemporary examples to make the theory come to life.
目錄
PART I: OVERVIEW
Ch 1 Introduction to Corporate Finance
Ch 2 Financial Statements and Cash Flow
Ch 3 Financial Statements Analysis and Financial Models
PART II: VALUATION AND CAPITAL BUDGETING
Ch 4 Discounted Cash Flow Valuation
Ch 5 Net Present Value and Other Investment Rules
Ch 6 Making Capital Investment Decisions
Ch 7 Risk Analysis, Real Options, and Capital Budgeting
Ch 8 Interest Rates and Bond Valuation
Ch 9 Stock Valuation
PART III: RISK
Ch10 Lessons from Market History
Ch11 Return, Risk, and the Capital Asset Pricing Model
Ch12 An Alternative View of Risk and Return
Ch13 Risk, Cost of Capital, and Valuation
PART IV: CAPITAL STRUCTURE AND DIVIDEND POLICY
Ch14 Efficient Capital Markets and Behavioral Challenges
Ch15 Long-Term Financing
Ch16 Capital Structure: Basic Concepts
Ch17 Capital Structure: Limits to the Use of Debt
Ch18 Valuation and Capital Budgeting for the Levered Firm
Ch19 Dividends and Other Payouts
PART V: LONG-TERM FINANCING
Ch20 Raising Capital
Ch21 Leasing
PART VI: OPTIONS, FUTURES, AND CORPORATE FINANCE
Ch22 Options and Corporate Finance
Ch23 Options and Corporate Finance: Extensions and Applications
Ch24 Warrants and Convertibles
Ch25 Derivatives and Hedging Risk
PART VII: SHORT-TERM FINANCE
Ch26 Short-Term Finance and Planning
Ch27 Cash Management
Ch28 Credit and Inventory Management
PART VIII: SPECIAL TOPICS
Ch29 Mergers, Acquisitions, and Divestitures
Ch30 Financial Distress
Ch31 International Corporate Finance
Appendix A: Mathematical Tables
Appendix B: Solutions to Selected End-of-Chapter Problems
Appendix C: Using the HP 10B and TI BA II Plus Financial Calculators
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INTERNATIONAL ECONOMICS: THEORY & POLICY (12版)
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International Economics: Theory and Policy(GE)作 / 譯 者 :Paul R. Krugman,Maurice Obstfeld,Marc J. MelitzI S B N - 13 :9781292409719I S B N - 10 :1292409711類 別:國際經濟
版 次:12 版年 份:2022規 格:817 頁出 版 商:Pearson Education
簡介
International Economics: Theory and Policy provides engaging, balanced coverage of the key concepts and practical applications of theory and policy around the world. Divided into two halves, with the first devoted to trade and the second to monetary questions, the text provides an intuitive introduction to theory and events as well as detailed coverage of the actual policies put into place as a response. In the 12th edition, important economic developments are highlighted, with many lessons drawn from the recent COVID-19 pandemic experience. Using examples like these, the text equips students with the intellectual tools for understanding the changing world economy and economic implications of global interdependence.
目錄
Ch 1 Introduction
PART I: International Trade Theory
Ch 2 World Trade: An Overview
Ch 3 Labor Productivity and Comparative Advantage: The Ricardian Model
Ch 4 Specific Factors and Income Distribution
Ch 5 Resources and Trade: The Heckscher-Ohlin Model
Ch 6 The Standard Trade Model
Ch 7 External Economies of Scale and the International Location of Production
Ch 8 Firms in the Global Economy: Export and Foreign Sourcing Decisions and Multinational Enterprises
PART II: International Trade Policy
Ch 9 The Instruments of Trade Policy
Ch10 The Political Economy of Trade Policy
Ch11 Trade Policy in Developing Countries
Ch12 Controversies in Trade Policy
PART III: Exchange Rates and Open-Economy Macroeconomics
Ch13 National Income Accounting and the Balance of Payments
Ch14 Exchange Rates and the Foreign Exchange Market: An Asset Approach
Ch15 Money, Interest Rates, and Exchange Rates
Ch16 Price Levels and the Exchange Rate in the Long Run
Ch17 Output and the Exchange Rate in the Short Run
Ch18 Fixed Exchange Rates and Foreign Exchange Intervention
PART IV: International Macroeconomic Policy
Ch19 International Monetary Systems: An Historical Overview
Ch20 Financial Globalization: Opportunity and Crisis
Ch21 Optimum Currency Areas and the Euro
Ch22 Developing Countries: Growth, Crisis, and Reform
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書名:Macroeconomics 10/E
作者:Abel/Bernanke/Croushore
出版社:PEARSON
出版日期:2020/03/00
ISBN:9781292318615
Table of Contents
PART 1: INTRODUCTION
1. Introduction to Macroeconomics
2. The Measurement and Structure of the National Economy
PART 2: LONG-RUN ECONOMIC PERFORMANCE
3. Productivity, Output, and Employment
4. Consumption, Saving, and Investment
5. Saving and Investment in the Open Economy
6. Long-Run Economic Growth
7. The Asset Market, Money, and Prices
PART 3: BUSINESS CYCLES AND MACROECONOMIC POLICY
8. Business Cycles
9. The IS–LM/AD–AS Model: A General Framework for Macroeconomic Analysis
10. Classical Business Cycle Analysis: Market-Clearing Macroeconomics
11. Keynesianism: The Macroeconomics of Wage and Price Rigidity
PART 4: MACROECONOMIC POLICY: ITS ENVIRONMENT AND INSTITUTIONS
12. Unemployment and Inflation
13. Exchange Rates, Business Cycles, and Macroeconomic Policy in the Open Economy
14. Monetary Policy and the Federal Reserve System
15. Government Spending and Its Financing
Appendix A: Some Useful Analytical Tools
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Introduction to Linear Algebra 6/e (6版)
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Introduction to Linear Algebra 6/e
作者:Gilbert Strang
ISBN:9786269708109
年份:2023
出版商:New Moon Education
頁數/規格:440頁/平裝單色
Description
Linear algebra now rivals or surpasses calculus in importance for people working in quantitative fields of all kinds: engineers, scientists, economists and business people. Gilbert Strang has taught linear algebra at MIT for more than 50 years and the course he developed has become a model for teaching around the world. His video lectures on MIT OpenCourseWare have been viewed over ten million times and his twelve textbooks are popular with readers worldwide.
This sixth edition of Professor Strang's most popular book, Introduction to Linear Algebra, introduces the ideas of independent columns and the rank and column space of a matrix early on for a more active start. Then the book moves directly to the classical topics of linear equations, fundamental subspaces, least squares, eigenvalues and singular values – in each case expressing the key idea as a matrix factorization. The final chapters of this edition treat optimization and learning from data: the most active application of linear algebra today. Everything is explained thoroughly in Professor Strang's characteristic clear style. It is sure to delight and inspire the delight and inspire the next generation of learners.
Table of Contents
1 Vectors and Matrices
2 Solving Linear Equations Ax = b
3 The Four Fundamental Subspaces
4 Orthogonality
5 Determinants
6 Eigenvalues and Eigenvectors
7 The Singular Value Decomposition (SVD)
8 Linear Transformations
9 Linear Algebra in Optimization
10 Learning from Data
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Fundamental Methods of Mathematical Economics (4版)
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Fundamental Methods of Mathematical Economics作 / 譯 者 :Alpha C. Chiang,Kevin WainwrightI S B N - 13 :9780071238236I S B N - 10 :0071238239類 別:數理經濟
版 次:4 版年 份:2005規 格:688 頁出 版 商:McGraw Hill Education
It has been twenty years since the last edition of this classic book. Kevin Wainwright (British Columbia University and Simon Fraser University), a long time user of the text, has executed the perfect revision: he has updated examples, applications and theory without changing the elegant, precise presentation style of Alpha Chiang. Readers will find the wait was worthwhile.
KEY FEATURES:
1.Elegant Yet Lucid Writing Style: Chiang¿s strength is the eloquence of the writing and the manner in which it is developed. While the content of the text can be difficult, it is understandable.
2.Meshes Sophisticated with the Accessible: Sophisticated material is presented in the text, but not a lot of prior knowledge is assumed. The background needed for the course is there. The combination of depth of material and ease of exposition is the reason that graduate students and faculty alike have kept their copies of Chiang from their undergraduate days.
3.Many new, innovative examples based on current economics.
4.Expanded applications, especially in chapters 8,11, and 12. New chapter covering envelope theorem, maximum value function, and duality. In part five add a new chapter on optimal control theory and modernize the models. Delete part 6 (Mathematical Programming) and move nonlinear programming (21) to follow Optimization with equality constraints (12).
5.A Classic Text: Chiang literally wrote the book on the subject matter and is one of the most widely-respected Economics texts in the world.
目錄
PART Ⅰ: INTRODUCTION
Ch 1 The Nature of Mathematical Economics
Ch 2 Economic Models
PART Ⅱ: STATIC (OR EQUILIBRIUM) ANALYSIS
Ch 3 Equilibrium Analysis in Economics
Ch 4 Linear Models and Matrix Algebra
Ch 5 Linear Models and Matrix Algebra (continued)
PART Ⅲ: COMPARATIVE-STATIC ANALYSIS
Ch 6 Comparative Statics and the Concept of Derivative
Ch 7 Rules of Differentiation and Their use in Comparative Statics
Ch 8 Comparative-Static Analysis of General-Function Models
PART Ⅳ: OPTIMIZATION PROBLEMS
Ch 9 Optimization A Special Variety of Equilibrium Analysis
Ch10 Exponential and Logarithmic Functions
Ch11 The Case of More than One Choice Variable
Ch12 Optimization with Equality Constraints
Ch13 Further Topics in Optimization
PART Ⅴ: DYNAMIC ANALYSIS
Ch14 Economic Dynamics and Integral Calculus
Ch15 Continuous Time: First-Order Differential Equations
Ch16 Higher-Order Differential Equations
Ch17 Discrete Time: First-Order Difference Equations
Ch18 Higher-Order Difference Equations
Ch19 Simultaneous Differential Equations and Difference Equations
Ch20 Optimal Control Theory
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電子書 Microeconomics: A Contemporary Introduction 9781305505537 11/E 2017 <Cengage> (11版)
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