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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
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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
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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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總體經濟學：古典新論（一） ISBN13：9789574313921 出版社：雙葉書廊 作者：毛慶生 裝訂／頁數：線裝／598頁 規格：26cm*19cm*2.8cm (高/寬/厚) 版次：1 出版日：2014/05/01 中國圖書分類：經濟學總論 2008年全球金融風暴以來，總體經濟學進入了另一個動盪時期，以芝加哥學派為首的古典經濟學正遭到來自各方的指責和挑戰，「苦悶甚久」的凱因斯學派終於「一吐怨氣」，展開反擊。其實，從理論架構看，當代主流學派「骨子裡」沒有什麼不同；過去曾經引起極大爭議的理性與均衡原則，現在已是主流學派接受的理論典範。本書取名「古典新論」，其實是「新瓶裝舊酒」，不僅是為古典陣營的讀者而寫，也是為凱因斯陣營的讀者而寫。事實上，古典訓練有如「蹲馬步」，是進入總體經濟世界的「基本功」，即使是鐵桿的凱因斯信徒也必須從這裡開始，別無他途！不論諸位最後相信哪一個門派的理論見解，“trust me, this is the only way to go!” ＊適用課程︰總體經濟學等相關課程。 ＊適用對象︰商管學院相關系所大學或研究所學生。 目錄 第01章 總體經濟學導論 1.1 總體經濟學的範疇 1.2 總體理論發展簡史 1.3 總體經濟模型 本章摘要 第02章 產出與物價的衡量 2.1 國內生產毛額 2.2 國民所得帳 2.3 實質產出 2.4 國民所得與經濟福利 2.5 國民所得與國民儲蓄 2.6 物價指數 本章摘要 第03章 景氣波動的定型特徵 3.1 實質產出：長期趨勢與短期波動 3.2 台灣與美國的景氣波動 3.3 景氣波動的三個面向 3.4 景氣波動的定型特徵：台灣與美國 本章摘要 第04章 廠商的靜態選擇 4.1 模型經濟 4.2 廠商的客觀技術：生產函數 4.3 廠商的最適選擇 4.4 勞動需求函數與商品供給函數 4.5 能源危機與總合要素生產力 本章摘要 第05章 消費者的靜態選擇 5.1 時間限制與預算限制 5.2 主觀偏好：效用函數 5.3 消費者的最適選擇 5.4 消費需求函數與勞動供給函數 5.5 應用分析：勞動所得稅 5.6 應用分析：消費券與消費者選擇 本章摘要 第06章 靜態模型的全面均衡 6.1 均衡的意義 6.2 靜態模型的競爭均衡 6.3 競爭均衡的三個面向 6.4 Crusoe的荒島經濟 6.5 市場均衡的不效率性 本章摘要 第07章 靜態模型的均衡分析 7.1 需求面衝擊：政府消費支出增加 7.2 供給面衝擊：生產函數的比例移動 7.3 計算實例：全面均衡解 7.4 租稅政策：勞動所得稅 7.5 移轉性支付：消費券的均衡效果 7.6 應用分析：工時的長期趨勢 本章摘要 第08章 消費與儲蓄的選擇 8.1 動態稟賦經濟 8.2 費雪兩期模型 8.3 所得變動與消費平滑 8.4 台灣的家計消費與儲蓄 8.5 利率變動與跨期消費替代 8.6 實例：對數效用函數 8.7 消費與債券的需求函數 本章摘要 第09章 世代家庭的消費與儲蓄 9.1 世代家庭決策模型 9.2 數學推導：無限生命模型* 9.3 跨期消費型態 9.4 恆常所得假說 9.5 消費與債券的需求函數 本章摘要 第10章 稟賦經濟的均衡分析 10.1 稟賦經濟的全面均衡 10.2 均衡利率與所得成長 10.3 外生衝擊的均衡效果 10.4 李嘉圖等值論初探 10.5 租稅平滑假說：最適租稅理論* 10.6 跨代移轉政策：國民年金 本章摘要 第11章 資產定價模型 11.1 Lucas的樹模型 11.2 股利變動的均衡效果 11.3 隨機模型* 11.4 股權報酬與風險* 11.5 隨機差分方程* 本章摘要 第12章 消費與勞動的跨期選擇 12.1 消費者的跨期選擇模型 12.2 消費需求與勞動供給函數 12.3 實例：對數效用函數* 12.4 全面均衡 12.5 極短期的均衡分析 本章摘要
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Financial Accounting 3/e IFRS Edition 作者：Earl K. Stice, James D. Stice, W. Steve Albrecht, Monte R. Swain, Rong-Ruey Duh, Audrey Wenhsin Hsu ISBN：9789814962582 版次：3 年份：2021 出版商：Cengage Learning 頁數/規格：864頁/平裝彩色 內容簡介 完整版除了含括精華版的特色外，新增特色如下： 為因應會計本科系學生或一個星期三個小時課程使用，內容更完整，為符合本科系學生程度，習題份量更多，增加進階習題，也可以用來作為會計師準備的參考資料。 從開始到會計循環之前，精華版第2章範例原本含括服務業(High Speed Company)，完整版改為以買賣業為主(HoHo Tea Company)，取代服務業，包含存貨的考量，第3章範例也加入存貨科目加以演練，增加例子廣度。 目錄 Table of Contents PART I: FINANCIAL REPORTING AND THE ACCOUNTING CYCLE. 1. Accounting Information: Users and Uses. 2. Financial Statements: An Overview. 3. The Accounting Cycle: The Mechanics of Accounting. 4. Completing the Accounting Cycle. 5. Internal Controls: Ensuring the Integrity of Financial Information. PART II: OPERATING ACTIVITIES. 6. Cash 7. Receivables. 8. Inventory and the Cost of Sales 9. Completing the Operating Cycle. PART III: INVESTING AND FINANCING ACTIVITIES. 10. Investments: Property, Plant, and Equipment and Intangible Assets. 11. Financing: Long-Term Liabilities. 12. Financing: Equity. 13. Investments: Debt and Equity Securities. PART IV: OTHER DIMENSIONS OF FINANCIAL REPORTING. 14. Statement of Cash Flows. 15. Analyzing Financial Statements.
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書名：Essential Statistics in Business and Economics 3/E 作者：DOANE 出版社：McGraw-Hill 出版日期：2020/00/00 ISBN：9781260547641 內容簡介 Essential Statistics in Business and Economics 3rd Edition By David Doane and Lori Seward includes a full integration of Excel and motivates student learning with current, real-world exercises and cases. Business Stat Prep, guided examples, and excel assets are available within Connect to help students succeed. 目錄 Ch 1 Overview of Statistics Ch 2 Data Collection Ch 3 Describing Data Visually Ch 4 Descriptive Statistics Ch 5 Probability Ch 6 Discrete Probability Distributions Ch 7 Continuous Probability Distributions Ch 8 Sampling Distributions and Estimation Ch 9 One-Sample Hypothesis Tests Ch10 Two-Sample Hypothesis Tests Ch11 Analysis of Variance Ch12 Simple Regression Ch13 Multiple Regression Ch14 Chi-Square Tests Appendix A Binomial Probabilities Appendix B Poisson Probabilities Appendix C-1 Standard Normal Areas Appendix C-2 Cumulative Standard Normal Distribution Appendix D Student's t Critical Values Appendix E Chi-Square Critical Values Appendix F Critical Values of F.10 Appendix G Solutions to Odd-Numbered Exercises Appendix H Answers to Exam Review Questions Appendix I Writing and Presenting Reports Appendix J Excel Statistical Functions
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書名：Brief Calculus: An Applied Approach 10/e (Metric Edition) 作者：Ron Larson 出版社：CENGAGE 出版日期：2017/00/00 ISBN：9781337290579 內容簡介 Every feature in this text is deigned to help you learn calculus. Whenever you see a red u, pay special attention to the study aid. The Study Tips occur at point of use throughout the text. They represent common questions the students ask me, insights into understanding concepts, and alternative ways to look at concepts. This inc 目錄 Ch 1 Functions, Graphs, and Limits Ch 2 Differentiation Ch 3 Applications of the Derivative Ch 4 Exponential and Logarithmic Functions Ch 5 Integration and Its Applications Ch 6 Techniques of Integration Ch 7 Functions of Several Variables ludes graphing calculators, computer graphing programs, and spreadsheet programs such as Excel.
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