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Economics 14/E 2023 (Global Edition) 作/ 譯者:Parkin ISBN:9781292433639 年份:2023 書號 開數:27.5*21.5 頁數:824
詳細資訊
Economics 14/E 2023 (Global Edition) 作/ 譯者:Parkin ISBN:9781292433639 年份:2023 書號 開數:27.5*21.5 頁數:824
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商品描述 本書序言 ●NEW discussion of data analytics is integrated throughout the text, at an appropriate level of detail for introductory accounting students. ●NEW Data Analytics assignments at the end of selected chapters. ●MORE bulleted and numbered lists within the text highlight key information for students. ●UPDATED for IFRS, including fair value principle and historical cost principle to current value basis/historical cost basis. ●ADDED Answers to Insight box questions are included at the end of each chapter. 本書特色 Activate knowledge application with real-world context. Aid student understanding of current events and social and cultural issues with Environmental, Social, and Governance (ESG) Insights and ESG Reporting Cases that help students conceptualize current reporting practices and how ESG reporting may impact future financial accounting. Introduce students to business challenges with Real-World Company Videos, found in WileyPLUS, that feature small businesses and larger companies and illustrate how business owners apply accounting concepts in real-time. Cultivate the data analytics and problem-solving skills students need for career success. Provide students with the opportunity to use data analytics to solve realistic business challenges with Data Analytics in Action problems. Help students interpret visualizations and think critically about data in WileyPLUS with PowerBI and Tableau Visualizations, accompanied by assignable questions. Introduce a practical framework for developing problem-solving skills with Excel-Based Data Analytics Problems that help students build key skills while enhancing their understanding of important business concepts. Available in WileyPLUS. 商品描述(中文翻譯) 本書序言 - 本書中融入了有關數據分析的新討論,適合初學會計的學生,並以適當的細節進行介紹。 - 選定章節結尾新增了數據分析的作業。 - 本書中的文本中新增了更多的項目符號和編號列表,以突出學生需要的關鍵信息。 - 根據國際財務報告準則(IFRS)進行了更新,包括公平價值原則和歷史成本原則轉換為現值基礎/歷史成本基礎。 - 每章結尾新增了對洞察框問題的答案。 本書特色 - 通過真實世界的背景激活知識應用。 - 通過環境、社會和治理(ESG)洞察和ESG報告案例,幫助學生理解當前的報告實踐以及ESG報告可能對未來財務會計的影響,從而幫助學生理解當前事件和社會文化問題。 - 通過WileyPLUS中的真實世界公司視頻,介紹學生面臨的商業挑戰,展示企業主如何實時應用會計概念。 - 培養學生在職業成功中所需的數據分析和解決問題的能力。 - 通過數據分析實際問題,讓學生有機會應用數據分析解決現實的商業挑戰。 - 通過WileyPLUS中的PowerBI和Tableau可視化工具,幫助學生解讀視覺化數據並對數據進行批判性思考。 - 通過基於Excel的數據分析問題,引入一個實用的框架,培養解決問題的能力,同時提高對重要商業概念的理解。在WileyPLUS中提供。 作者簡介 Jerry J. Weygandt, Paul D. Kimmel University of Wisconsin--Madison Madison, Wisconsin 作者簡介(中文翻譯) Jerry J. Weygandt, Paul D. Kimmel 威斯康辛大學麥迪遜分校 威斯康辛州麥迪遜市 目錄大綱 1 Accounting in Action 2 The Recording Process 3 Adjusting the Accounts 4 Completing the Accounting Cycle 5 Accounting for Merchandise Operations 6 Inventories 7 Fraud, Internal Control, and Cash 8 Accounting for Receivables 9 Plant Assets, Natural Resources, and Intangible Assets 10 Current Liabilities 11 Non-Current Liabilities 12 Corporations: Organization, Share Transactions, and Equity 13 Investments 14 Statement of Cash Flows 15 Financial Analysis: The Big Picture Appendix A Specimen Financial Statements: Taiwan Semiconductor Manufacturing Company, Limited Appendix B Specimen Financial Statements: Nestlé SA Appendix C Specimen Financial Statements: Delfi Limited Appendix D Specimen Financial Statements: Apple Inc. Appendix E Time Value of Money Appendix F Accounting for Partnerships Appendix G Subsidiary Ledgers and Special Journals 目錄大綱(中文翻譯) 1 會計實務 2 記錄過程 3 調整帳戶 4 完成會計週期 5 商品營運的會計 6 存貨 7 詐欺、內部控制和現金 8 應收帳款的會計 9 資產、自然資源和無形資產 10 流動負債 11 非流動負債 12 公司:組織、股份交易和權益 13 投資 14 現金流量表 15 財務分析:整體概觀 附錄A 台灣積體電路製造股份有限公司樣本財務報表 附錄B 雀巢公司樣本財務報表 附錄C Delfi有限公司樣本財務報表 附錄D 蘋果公司樣本財務報表 附錄E 貨幣時間價值 附錄F 合夥企業的會計 附錄G 子分類帳和特殊日記帳
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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. 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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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經濟學:理論與實際(上) ISBN13:9786260102425 出版社:雙葉書廊 作者:許嘉棟;吳聰敏;張清溪;劉鶯釧-著作 裝訂/頁數:平裝/416頁 規格:26cm*19cm*2.1cm (高/寬/厚) 版次:8 出版日:2022/08/01 中國圖書分類:經濟學總論 經濟學:理論與實際(下) ISBN13:9786260104290 出版社:雙葉書廊 作者:許嘉棟;吳聰敏;張清溪;劉鶯釧-著作 裝訂/頁數:平裝/416頁 規格:26cm*19cm*2cm (高/寬/厚) 版次:8 出版日:2022/08/01 中國圖書分類:經濟學總論 上目錄 第01章 揭開經濟學的面紗 1.1 什麼是經濟學? 1.2 機會成本與生產可能線 1.3 比較利益法則 1.4 經濟學解釋現象 1.5 本書的結構 附錄:經濟圖形的作法 第02章 供給與需求 2.1 市場經濟制度 2.2 需求 2.3 需求改變的因素 2.4 供給 2.5 市場需求線與市場供給線 第03章 市場均衡分析 3.1 市場均衡的決定 3.2 市場均衡的變動 3.3 供需均衡理論與實際經濟現象 3.4 政府對市場的干預 附錄:蛛網理論 第04章 價格彈性 4.1 價格彈性的意義與衡量 4.2 價格彈性與斜率的關係 4.3 需求彈性與總支出的關係 4.4 價格彈性的決定因素 4.5 價格彈性的應用 附錄:所得彈性、交叉彈性、長短期彈性 第05章 效用與消費者選擇 5.1 效用與價值 5.2 邊際效用遞減法則 5.3 需求價格與需求曲線 5.4 無異曲線 5.5 無異曲線分析法 附錄:貨幣的邊際效用、無異曲線分析法 第06章 廠商的利潤與成本 6.1 廠商決策的幾個基本概念 6.2 生產理論 6.3 成本分析 附錄:廠商組織、原材料成本、時間 第07章 完全競爭市場 7.1 價格接受者 7.2 短期供給線 7.3 競爭廠商之長期供給線 7.4 完全競爭理論的應用 附錄:完全競爭廠商行為 第08章 市場機能與經濟效率 8.1 經濟福祉 8.2 市場機能 8.3 管制有損經濟效率 8.4 市場失靈與政府職能 附錄:直接觀察市場供需 第09章 國際貿易 9.1 國際均衡價格之決定 9.2 貿易之利與利益之分配 9.3 貿易的原理:比較利益 9.4 交易之利益與貿易條件 9.5 貿易政策 9.6 貿易政策之檢討 9.7 台灣的對外貿易 附錄:要素之國際移動、外籍勞工 第10章 外部效果與環境資源 10.1 外部性與經濟效率 10.2 最適污染量之決定 10.3 外部性之成因與處理 10.4 環境資源 第11章 公共財與政府 11.1 政府的職能 11.2 公共財 11.3 自然獨占與公營事業 11.4 追求經濟效率之代價 11.5 公共決策與政府失靈 第12章 課稅與補貼 12.1 政府的功能 12.2 歲出與歲入 12.3 課間接稅之影響 12.4 所得稅 12.5 課稅原則 12.6 補貼與移轉支出 第13章 獨占 13.1 市場結構 13.2 獨占 13.3 差別訂價 13.4 獨占的弊與利 13.5 自然獨占的管理 第14章 不完全競爭市場 14.1 獨占性競爭 14.2 寡占 14.3 賽局理論 14.4 反獨占法與智慧財產權 第15章 要素市場 15.1 勞動市場 15.2 勞動市場的干預 15.3 地租 15.4 利息 下目錄 第16章 總體經濟學導論 16.1 個體經濟學與總體經濟學 16.2 總合供需模型 16.3 政府在總體經濟中之角色 16.4 本書下冊的結構 第17章 國民所得的意義與衡量 17.1 從生產面估算國內生產毛額 17.2 從支出面估算國內生產毛額 17.3 國民所得之估算 17.4 各種國民所得統計之用途 第18章 物價指數 18.1 實質 GDP 18.2 購買力平價指數 18.3 國民所得與經濟福祉 18.4 消費者物價指數 附錄:所得分配 第19章 經濟成長 19.1 現代經濟成長 19.2 戰後的高成長 19.3 固定投資 19.4 所得水準趕上 第20章 景氣波動、失業與物價膨脹 20.1 景氣波動 20.2 勞動市場與失業 20.3 貨幣供給與物價 20.4 物價膨脹之影響 20.5 痛苦指數與菲利浦曲線 第21章 簡單凱因斯所得決定理論 21.1 總合供需模型 21.2 民間消費與儲蓄 21.3 固定投資 21.4 簡單凱因斯模型 21.5 乘數效果 21.6 進出口與均衡國民所得 第22章 財政政策 22.1 政府收支與均衡所得 22.2 反景氣循環的財政政策 22.3 政府收支之自動安定機能 22.4 總結 附錄:消費券 第23章 金融市場 23.1 儲蓄、投資與淨出口 23.2 儲蓄與投資理財 23.3 金融市場 23.4 股票與房地產市場 23.5 金融創新 第24章 中央銀行與貨幣政策 24.1 貨幣的功能與制度 24.2 貨幣供給之統計 24.3 存款貨幣與貨幣乘數 24.4 中央銀行與貨幣政策 第25章 國際金融 25.1 外匯與匯率 25.2 外匯供需與國際收支表 25.3 外匯存底 25.4 匯率之決定 25.5 匯率制度 25.6 台灣的國際收支、匯率與貨幣政策自主性 附錄:購買力平價 第26章 總合需求分析 26.1 貨幣需求 26.2 貨幣市場均衡與利率 26.3 商品與貨幣市場之交互影響 26.4 總合需求線 26.5 總合需求線之數學說明及其移動 附錄:利率與消費、利率與投資、IS-LM 分析法 第27章 勞動市場與總合供需 27.1 勞動市場 27.2 古典學派的總合供給線與均衡分析 27.3 凱因斯學派的總合供給線 27.4 凱因斯總合供需均衡分析 27.5 凱因斯總合供需模型的檢討 附錄:古典學派與凱因斯學派總合供給線 第28章 總體政策之效果 28.1 財政政策的效果 28.2 貨幣與匯率政策的效果 28.3 財政政策與貨幣政策之比較 28.4 政府收支與公債融通 28.5 菲利浦曲線 第29章 全球化、金融危機與經濟變局 29.1 全球化的源起 29.2 全球化的影響 29.3 貨幣供給與資產泡沫 29.4 金融危機 29.5 東亞金融風暴與全球金融海嘯 29.6 2010 年以來的國際經濟金融變局 第30章 總體理論的發展與爭論 30.1 古典學派之總體理論 30.2 凱因斯學派對古典理論之修正 30.3 停滯性膨脹 30.4 重貨幣學派與新興古典學派
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【簡介】 Learn how statistical information impacts decisions in today’s business world as Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 10E connects key concepts in each chapter to actual business practices. This edition combines clear statistical methods with a proven approach that presents a problem, then scenario. Updated applications reflect the latest developments in business and statistics. You work with more than 350 new and updated business examples, approximately 50 new and updated cases and hands-on exercises that highlight statistics in action. You also gain practice using leading professional statistical software with exercises and appendices that walk you through using Excel®, R and JMP® Student Edition. 【目錄】 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. 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.
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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:Microeconomics 9/E (GE) 作者:Robert S. Pindyck 出版社:Pearson 出版日期:2018/04/02 ISBN:9781292213316
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經濟學:理論與實際(上) ISBN13:9786260102425 出版社:雙葉書廊 作者:許嘉棟;吳聰敏;張清溪;劉鶯釧-著作 裝訂/頁數:平裝/416頁 規格:26cm*19cm*2.1cm (高/寬/厚) 版次:8 出版日:2022/08/01 中國圖書分類:經濟學總論 經濟學:理論與實際(下) ISBN13:9786260104290 出版社:雙葉書廊 作者:許嘉棟;吳聰敏;張清溪;劉鶯釧-著作 裝訂/頁數:平裝/416頁 規格:26cm*19cm*2cm (高/寬/厚) 版次:8 出版日:2022/08/01 中國圖書分類:經濟學總論 上目錄 第01章 揭開經濟學的面紗 1.1 什麼是經濟學? 1.2 機會成本與生產可能線 1.3 比較利益法則 1.4 經濟學解釋現象 1.5 本書的結構 附錄:經濟圖形的作法 第02章 供給與需求 2.1 市場經濟制度 2.2 需求 2.3 需求改變的因素 2.4 供給 2.5 市場需求線與市場供給線 第03章 市場均衡分析 3.1 市場均衡的決定 3.2 市場均衡的變動 3.3 供需均衡理論與實際經濟現象 3.4 政府對市場的干預 附錄:蛛網理論 第04章 價格彈性 4.1 價格彈性的意義與衡量 4.2 價格彈性與斜率的關係 4.3 需求彈性與總支出的關係 4.4 價格彈性的決定因素 4.5 價格彈性的應用 附錄:所得彈性、交叉彈性、長短期彈性 第05章 效用與消費者選擇 5.1 效用與價值 5.2 邊際效用遞減法則 5.3 需求價格與需求曲線 5.4 無異曲線 5.5 無異曲線分析法 附錄:貨幣的邊際效用、無異曲線分析法 第06章 廠商的利潤與成本 6.1 廠商決策的幾個基本概念 6.2 生產理論 6.3 成本分析 附錄:廠商組織、原材料成本、時間 第07章 完全競爭市場 7.1 價格接受者 7.2 短期供給線 7.3 競爭廠商之長期供給線 7.4 完全競爭理論的應用 附錄:完全競爭廠商行為 第08章 市場機能與經濟效率 8.1 經濟福祉 8.2 市場機能 8.3 管制有損經濟效率 8.4 市場失靈與政府職能 附錄:直接觀察市場供需 第09章 國際貿易 9.1 國際均衡價格之決定 9.2 貿易之利與利益之分配 9.3 貿易的原理:比較利益 9.4 交易之利益與貿易條件 9.5 貿易政策 9.6 貿易政策之檢討 9.7 台灣的對外貿易 附錄:要素之國際移動、外籍勞工 第10章 外部效果與環境資源 10.1 外部性與經濟效率 10.2 最適污染量之決定 10.3 外部性之成因與處理 10.4 環境資源 第11章 公共財與政府 11.1 政府的職能 11.2 公共財 11.3 自然獨占與公營事業 11.4 追求經濟效率之代價 11.5 公共決策與政府失靈 第12章 課稅與補貼 12.1 政府的功能 12.2 歲出與歲入 12.3 課間接稅之影響 12.4 所得稅 12.5 課稅原則 12.6 補貼與移轉支出 第13章 獨占 13.1 市場結構 13.2 獨占 13.3 差別訂價 13.4 獨占的弊與利 13.5 自然獨占的管理 第14章 不完全競爭市場 14.1 獨占性競爭 14.2 寡占 14.3 賽局理論 14.4 反獨占法與智慧財產權 第15章 要素市場 15.1 勞動市場 15.2 勞動市場的干預 15.3 地租 15.4 利息 下目錄 第16章 總體經濟學導論 16.1 個體經濟學與總體經濟學 16.2 總合供需模型 16.3 政府在總體經濟中之角色 16.4 本書下冊的結構 第17章 國民所得的意義與衡量 17.1 從生產面估算國內生產毛額 17.2 從支出面估算國內生產毛額 17.3 國民所得之估算 17.4 各種國民所得統計之用途 第18章 物價指數 18.1 實質 GDP 18.2 購買力平價指數 18.3 國民所得與經濟福祉 18.4 消費者物價指數 附錄:所得分配 第19章 經濟成長 19.1 現代經濟成長 19.2 戰後的高成長 19.3 固定投資 19.4 所得水準趕上 第20章 景氣波動、失業與物價膨脹 20.1 景氣波動 20.2 勞動市場與失業 20.3 貨幣供給與物價 20.4 物價膨脹之影響 20.5 痛苦指數與菲利浦曲線 第21章 簡單凱因斯所得決定理論 21.1 總合供需模型 21.2 民間消費與儲蓄 21.3 固定投資 21.4 簡單凱因斯模型 21.5 乘數效果 21.6 進出口與均衡國民所得 第22章 財政政策 22.1 政府收支與均衡所得 22.2 反景氣循環的財政政策 22.3 政府收支之自動安定機能 22.4 總結 附錄:消費券 第23章 金融市場 23.1 儲蓄、投資與淨出口 23.2 儲蓄與投資理財 23.3 金融市場 23.4 股票與房地產市場 23.5 金融創新 第24章 中央銀行與貨幣政策 24.1 貨幣的功能與制度 24.2 貨幣供給之統計 24.3 存款貨幣與貨幣乘數 24.4 中央銀行與貨幣政策 第25章 國際金融 25.1 外匯與匯率 25.2 外匯供需與國際收支表 25.3 外匯存底 25.4 匯率之決定 25.5 匯率制度 25.6 台灣的國際收支、匯率與貨幣政策自主性 附錄:購買力平價 第26章 總合需求分析 26.1 貨幣需求 26.2 貨幣市場均衡與利率 26.3 商品與貨幣市場之交互影響 26.4 總合需求線 26.5 總合需求線之數學說明及其移動 附錄:利率與消費、利率與投資、IS-LM 分析法 第27章 勞動市場與總合供需 27.1 勞動市場 27.2 古典學派的總合供給線與均衡分析 27.3 凱因斯學派的總合供給線 27.4 凱因斯總合供需均衡分析 27.5 凱因斯總合供需模型的檢討 附錄:古典學派與凱因斯學派總合供給線 第28章 總體政策之效果 28.1 財政政策的效果 28.2 貨幣與匯率政策的效果 28.3 財政政策與貨幣政策之比較 28.4 政府收支與公債融通 28.5 菲利浦曲線 第29章 全球化、金融危機與經濟變局 29.1 全球化的源起 29.2 全球化的影響 29.3 貨幣供給與資產泡沫 29.4 金融危機 29.5 東亞金融風暴與全球金融海嘯 29.6 2010 年以來的國際經濟金融變局 第30章 總體理論的發展與爭論 30.1 古典學派之總體理論 30.2 凱因斯學派對古典理論之修正 30.3 停滯性膨脹 30.4 重貨幣學派與新興古典學派
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Calculus:Early Transcendentals, Metric Edition ISBN13:9780357113516 出版社:Cengage Learning; Inc 作者:James Stewart (McMaster University);Saleem (California State University Watson Long Beach);Daniel K. Clegg (Palomar College) 裝訂/頁數:平裝/1408頁 版次:9 出版日:2021/01/17 目錄 Preface. To the Student. Diagnostic Tests. A Preview of Calculus. 1. FUNCTIONS AND MODELS. Four Ways to Represent a Function. Mathematical Models: A Catalog of Essential Functions. New Functions from Old Functions. Exponential Functions. Inverse Functions and Logarithms. Review. Principles of Problem Solving. 2. LIMITS AND DERIVATIVES. The Tangent and Velocity Problems. The Limit of a Function. Calculating Limits Using the Limit Laws. The Precise Definition of a Limit. Continuity. Limits at Infinity; Horizontal Asymptotes. Derivatives and Rates of Change. Writing Project: Early Methods for Finding Tangents. The Derivative as a Function. Review. Problems Plus. 3. DIFFERENTIATION RULES. Derivatives of Polynomials and Exponential Functions. Applied Project: Building a Better Roller Coaster. The Product and Quotient Rules. Derivatives of Trigonometric Functions. The Chain Rule. Applied Project: Where Should a Pilot Start Descent? Implicit Differentiation. Discovery Project: Families of Implicit Curves. Derivatives of Logarithmic Functions and Inverse Trigonometric Functions. Rates of Change in the Natural and Social Sciences. Exponential Growth and Decay. Applied Project: Controlling Red Blood Cell Loss During Surgery. Related Rates. Approximations and Differentials. Discovery Project: Taylor Polynomials. Hyperbolic Functions. Review. Problems Plus. 4. APPLICATIONS OF DIFFERENTIATION. Maximum and Minimum Values. Applied Project: The Calculus of Rainbows. The Mean Value Theorem. What Derivatives Tell Us about the Shape of a Graph. Indeterminate Forms and l'Hospital's Rule. Writing Project: The Origins of l'Hospital's Rule. Summary of Curve Sketching. Graphing with Calculus and Technology. Optimization Problems. Applied Project: The Shape of a Can. Applied Project: Planes and Birds: Minimizing Energy. Newton's Method. Antiderivatives. Review. Problems Plus. 5. INTEGRALS. The Area and Distance Problems. The Definite Integral. Discovery Project: Area Functions. The Fundamental Theorem of Calculus. Indefinite Integrals and the Net Change Theorem. Writing Project: Newton, Leibniz, and the Invention of Calculus. The Substitution Rule. Review. Problems Plus. 6. APPLICATIONS OF INTEGRATION. Areas Between Curves. Applied Project: The Gini Index. Volumes. Volumes by Cylindrical Shells. Work. Average Value of a Function. Applied Project: Calculus and Baseball. Applied Project: Where to Sit at the Movies. Review. Problems Plus. 7. TECHNIQUES OF INTEGRATION. Integration by Parts. Trigonometric Integrals. Trigonometric Substitution. Integration of Rational Functions by Partial Fractions. Strategy for Integration. Integration Using Tables and Technology. Discovery Project: Patterns in Integrals. Approxi
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【上緣撞傷有裁切過】 書名:Statistics for Business and Economics 14/e 作者:ANDERSON 出版社:CENGAGE 出版日期:2020/00/00 ISBN:9780357114483 內容簡介 ●TRUSTED TEAM OF DISTINGUISHED AUTHORS ENSURES THE MOST ACCURATE, PROVEN PRESENTATION. Prominent leaders and active consultants in business and statistics, authors David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry and Jeffrey W. Ohlmann deliver an accurate, real-world presentation of statistical concepts you can trust with every edition. ●SYSTEMATIC APPROACH EMPHASIZES PROVEN METHODS AND APPLICATIONS. Students first develop a computational foundation and thoroughly 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 use of formulas, while Application Exercises require students to apply what they know about statistics to real-world problems 目錄 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 (MindTap Reader). Appendix A.References and Bibliography. Appendix B.Tables. Appendix C.Summation Notation. Appendix D.Answers to Even–Numbered Exercises (MindTap Reader). Appendix E.Microsoft Excel 2016 and Tools for Statistical Analysis. Appendix F.Computing p-Values Using JMP and Excel.
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Statistics for Business and Economics (GE)作 / 譯 者 :James T. McClave,P. George Benson,Terry SincichI S B N - 13 :9781292413396I S B N - 10 :1292413395類 別:統計學 版 次:14 版年 份:2022規 格:896 頁出 版 商:Pearson Education 簡介 Now in its 14th edition, Statistics for Business and Economics by McClave, Benson, and Sincich places statistics in the context of contemporary business. The text places emphasis on inference, extensively covering data collection and analysis needed to evaluate the results of statistical studies and make good decisions. Students are encouraged to develop statistical thinking and to understand both the assessment of credibility and the value of data inferences. Based on the American Statistical Association's Guidelines for Assessment and Instruction in Statistics Education(GAISE) Project, the text emphasizes statistical literacy, fosters active learning in the classroom, discusses intuitive probability, stresses conceptual understanding over mere knowledge of procedures, and employs technology to develop this understanding and to analyze data. 目錄 Ch 1 Statistics, Data, and Statistical Thinking Ch 2 Methods for Describing Sets of Data Ch 3 Probability Ch 4 Random Variables and Probability Distributions Ch 5 Sampling Distributions Ch 6 Inferences Based on a Single Sample: Estimation with Confidence Intervals Ch 7 Inferences Based on a Single Sample: Tests of Hypotheses Ch 8 Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses Ch 9 Design of Experiments and Analysis of Variance Ch10 Categorical Data Analysis Ch11 Simple Linear Regression Ch12 Multiple Regression and Model Building Ch13 Methods for Quality Improvement: Statistical Process Control (Available Online) Ch14 Time Series: Descriptive Analyses, Models, and Forecasting (Available Online) Ch15 Nonparametric Statistics (Available Online)
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Calculus for Business, Economics, Life Sciences, and Social Sciences 14/e +作者:Barnett +年份:2019 年14 版 +ISBN:9781292266152 +書號:MA0450PC +規格:平裝/彩色 +頁數:792 +出版商:Pearson(Asia) 目錄 1. Functions and Graphs 2. Limits and the Derivative 3. Additional Derivative Topics 4. Graphing and Optimization 5. Integration 6. Additional Integration Topics 7. Multivariable Calculus 8. Differential Equations 9. Taylor Polynomials and Infinite Series 10. Probability and Calculus Appendix A: Basic Algebra Review Appendix B: Special Topics (on Appendix C: Tables Answers
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