This book emphasizes the applications of statistics and probability to finance. The basics of these subjects are reviewed and more advanced topics in statistics, such as regression, ARMA and GARCH models, the bootstrap, and nonparametric regression using splines, are introduced as needed. The book covers the classical methods of finance and it introduces the newer area of behav...(展开全部)

Preface for the 4th edition We are pleased that our text has been sufficiently well received to justify this fourth edition. Students and instructors who use the text like the coupling of the rigorous and structured treatment of probability and statistics with real-world case studies and examples. The users of the book have been helpful in pointing out ways to improve our prese...(展开全部)

Noted for its integration of real-world data and case studies, this guide offers sound coverage of the theoretical aspects of mathematical statistics. It demonstrates how and when to use statistical methods, while reinforcing the calculus that readers have already mastered. Presents standard statistical techniques in a mathematical context, allowing the reader to see the underl...(展开全部)

Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout the Fifth Edition, the authors have added and updated examples and case ...(展开全部)

唐纳德·Ｇ.萨利 (Donald G. Saari) 美国科学院院士、美国艺术与科学院院士、美国科学促进会院士、古根海姆学者奖获得者、美国加州大学尔湾分校经济系和数学系荣休教授。1967年获得普渡大学数学系博士学位，2002被普渡大学授予杰出校友奖。在美国西北大学退休后到美国加州大学尔湾分校担任经济系和数学系双聘资深教授、数理行为科学研究所所长。曾担任多家关于动态系统分析学、经济学、决策分析学等的学术期刊的编委会委员，美国国家科学研究委员会(NRC)数学科学委员会前任主席、国际知名期刊Bulletin of the American Mathematical Society前任主编。曾获美国数学协会Allendoerfer奖、查文尼特奖（Chauvenet Prize）、福特奖（Lester R. Ford Awards）。研究方向横跨数学、天体力学...(展开全部)

This outstanding text by a foremost econometrician combines instruction in probability and statistics with econometrics in a rigorous but relatively nontechnical manner. Unlike many statistics texts, it discusses regression analysis in depth. And unlike many econometrics texts, it offers a thorough treatment of statistics. Although its only mathematical requirement is multiv...(展开全部)

This outstanding text by a foremost econometrician combines instruction in probability and statistics with econometrics in a rigorous but relatively nontechnical manner. Unlike many statistics texts, it discusses regression analysis in depth. And unlike many econometrics texts, it offers a thorough treatment of statistics. Although its only mathematical requirement is multiv...(展开全部)

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be r...(展开全部)

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical details. It contains many applied examples using the R statistical programming envi...(展开全部)

The efficient markets hypothesis has been the central proposition in finance for nearly thirty years. It states that securities prices in financial markets must equal fundamental values, either because all investors are rational or because arbitrage eliminates pricing anomalies. This book describes an alternative approach to the study of financial markets: behavioral finance. T...(展开全部)