Lectures on Probability and Statistics for Graduate-Level Economics

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【簡介】 Sound knowledge of rigorous probability and statistics methods is essential to pursue graduate studies in economics. These sorts of tools are largely required to conduct research in modern fields of economics such as economic theory, empirical economics, experimental economics, or data science for economics. These notes provide an intuitive roadmap to navigate graduate-level courses in mathematical probability and statistics for economists. Each chapter presents questions prevalent on each topic and lays out the state-of-the-art theoretical frameworks used to address such questions. The book offers a diverse array of solved examples to help gain intuitions on abstract concepts, as well as unsolved exercises to stimulate the readers’ training in such concepts. The book presents the theoretical side of probability and statistics in a rather concise way and stresses the importance of motivating examples and observations. 【目錄】

Introduction to Probability and Statistics (15版)

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【簡介】 The skill of statistical thinking is increasing in importance in this predominantly data-driven world. With Mendenhall, Beaver and Beaver's INTRODUCTION TO PROBABILITY AND STATISTICS, 15th Edition, you will be able to describe real sets of data meaningfully, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests, and know what to do when statistical assumptions have been violated. 【目錄】

Fundamentals of Probability and Statistics (3版)

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簡介 ‧Clear and easy to read: 　─ plain English language 　─ enough mathematics details 　─ helpful graphics plots ‧ Abundant in examples and exercises. ‧ Review problems facilitate the preparation of tests. ‧ Matlab implementation elucidates fundamental concepts. 目錄 CHAPTER 1 EXPERIMENTS, EVENTS, AND THEIR PROBABILITIES CHAPTER 2 RANDOM VARIABLES AND THEIR DISTRIBUTIONS CHAPTER 3 CONTINUOUS RANDOM VARIABLES CHAPTER 4 MULTIPLE RANDOM VARIABLES CHAPTER 5 SUM OF RANDOM VARIABLES CHAPTER 6 THE SAMPLE MEAN AND LIMIT THEOREMS CHAPTER 7 ESTIMATION CHAPTER 8 HYPOTHESIS TESTING CHAPTER 9 REGRESSION Appendix A Numerical Tables Appendix B Matlab Functions and Operations Used in This Book References Answers to Selected Odd-Numbered Exercises and Review Problems Index

Probability and Statistics for Economists 2022 (1版)

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PROBABILITY AND STATISTICS FOR ECONOMISTS 2022 (H) ISBN： 9780691235943 類別： 經濟學Economics 出版社： PRINCETON UNIVERSITY PRESS 作者： HANSEN 年份： 2022 裝訂別： 精裝 頁數： 416頁 Probability theory is the quantitative language used to handle uncertainty and is the foundation of modern statistics. Probability and Statistics for Economists provides graduate and PhD students with an essential introduction to mathematical probability and statistical theory, which are the basis of the methods used in econometrics. This incisive textbook teaches fundamental concepts, emphasizes modern, real-world applications, and gives students an intuitive understanding of the mathematics that every economist needs to know. > Covers probability and statistics with mathematical rigor while emphasizing intuitive explanations that are accessible to economics students of all backgrounds > Discusses random variables, parametric and multivariate distributions, sampling, the law of large numbers, central limit theory, maximum likelihood estimation, numerical optimization, hypothesis testing, and more > Features hundreds of exercises that enable students to learn by doing > Includes an in-depth appendix summarizing important mathematical results as well as a wealth of real-world examples > Can serve as a core textbook for a first-semester PhD course in econometrics and as a companion book to Bruce E. Hansen’s Econometrics > Also an invaluable reference for researchers and practitioners