Journal of Business & Economic Statistics
Author: American statistical association
Publisher:
Published: 1990
Total Pages: 528
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: American statistical association
Publisher:
Published: 1990
Total Pages: 528
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1995
Total Pages: 538
ISBN-13:
DOWNLOAD EBOOKAuthor: Jushan Bai
Publisher: Now Publishers Inc
Published: 2008
Total Pages: 90
ISBN-13: 1601981449
DOWNLOAD EBOOKLarge Dimensional Factor Analysis provides a survey of the main theoretical results for large dimensional factor models, emphasizing results that have implications for empirical work. The authors focus on the development of the static factor models and on the use of estimated factors in subsequent estimation and inference. Large Dimensional Factor Analysis discusses how to determine the number of factors, how to conduct inference when estimated factors are used in regressions, how to assess the adequacy pf observed variables as proxies for latent factors, how to exploit the estimated factors to test unit root tests and common trends, and how to estimate panel cointegration models.
Author:
Publisher:
Published: 1983
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: American Statistical Association. Business and Economic Statistics Section
Publisher:
Published: 1998
Total Pages: 580
ISBN-13:
DOWNLOAD EBOOKAuthor: Cheng F. Lee
Publisher: World Scientific
Published: 2000
Total Pages: 1124
ISBN-13: 9789810234850
DOWNLOAD EBOOKThis text integrates various statistical techniques with concepts from business, economics and finance, and demonstrates the power of statistical methods in the real world of business. This edition places more emphasis on finance, economics and accounting concepts with updated sample data.
Author: Douglas A. Lind
Publisher: McGraw-Hill Companies
Published: 2003
Total Pages: 0
ISBN-13: 9780072471045
DOWNLOAD EBOOKThe Fifth Edition of Basic Statistics for Business and Economics is a shorter version of Lind/Marchal/Wathen's Statistical Techniques in Business and Economics, 12e. The authors of this text continue to provide a student-oriented approach to business statistics. In this book you will find step-by-step solved examples, realistic exercises, and up-to-date technology and illustrations. Book jacket.
Author: Ron C. Mittelhammer
Publisher: Springer Science & Business Media
Published: 2013-03-14
Total Pages: 777
ISBN-13: 1461450225
DOWNLOAD EBOOKMathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects. This new edition has been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over 300 end-of-chapter problems. After introducing the concepts of probability, random variables, and probability density functions, the author develops the key concepts of mathematical statistics, most notably: expectation, sampling, asymptotics, and the main families of distributions. The latter half of the book is then devoted to the theories of estimation and hypothesis testing with associated examples and problems that indicate their wide applicability in economics and business. Features of the new edition include: a reorganization of topic flow and presentation to facilitate reading and understanding; inclusion of additional topics of relevance to statistics and econometric applications; a more streamlined and simple-to-understand notation for multiple integration and multiple summation over general sets or vector arguments; updated examples; new end-of-chapter problems; a solution manual for students; a comprehensive answer manual for instructors; and a theorem and definition map. This book has evolved from numerous graduate courses in mathematical statistics and econometrics taught by the author, and will be ideal for students beginning graduate study as well as for advanced undergraduates.
Author: Cheng-Few Lee
Publisher: Springer Science & Business Media
Published: 2013-03-12
Total Pages: 1237
ISBN-13: 1461458978
DOWNLOAD EBOOKStatistics for Business and Financial Economics, 3rd edition is the definitive Business Statistics book to use Finance, Economics, and Accounting data throughout the entire book. Therefore, this book gives students an understanding of how to apply the methodology of statistics to real world situations. In particular, this book shows how descriptive statistics, probability, statistical distributions, statistical inference, regression methods, and statistical decision theory can be used to analyze individual stock price, stock index, stock rate of return, market rate of return, and decision making. In addition, this book also shows how time-series analysis and the statistical decision theory method can be used to analyze accounting and financial data. In this fully-revised edition, the real world examples have been reconfigured and sections have been edited for better understanding of the topics. On the Springer page for the book, the solution manual, test bank and powerpoints are available for download.
Author: Thomas Cleff
Publisher: Springer
Published: 2019-07-10
Total Pages: 488
ISBN-13: 303017767X
DOWNLOAD EBOOKThis textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.