Large Dimensional Factor Analysis

Large Dimensional Factor Analysis
Title Large Dimensional Factor Analysis PDF eBook
Author Jushan Bai
Publisher Now Publishers Inc
Pages 90
Release 2008
Genre Business & Economics
ISBN 1601981449

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Large 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.

Statistics for Business and Economics

Statistics for Business and Economics
Title Statistics for Business and Economics PDF eBook
Author David Ray Anderson
Publisher
Pages 0
Release 2006
Genre Commercial statistics
ISBN 9789867497826

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Mathematical Statistics for Economics and Business

Mathematical Statistics for Economics and Business
Title Mathematical Statistics for Economics and Business PDF eBook
Author Ron C. Mittelhammer
Publisher Springer Science & Business Media
Pages 777
Release 2013-03-14
Genre Mathematics
ISBN 1461450225

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Mathematical 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.

Basic Statistics for Business and Economics

Basic Statistics for Business and Economics
Title Basic Statistics for Business and Economics PDF eBook
Author Douglas A. Lind
Publisher
Pages 0
Release 2013
Genre Economics
ISBN 9789814577960

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Applied Statistics and Multivariate Data Analysis for Business and Economics

Applied Statistics and Multivariate Data Analysis for Business and Economics
Title Applied Statistics and Multivariate Data Analysis for Business and Economics PDF eBook
Author Thomas Cleff
Publisher Springer
Pages 488
Release 2019-07-10
Genre Business & Economics
ISBN 303017767X

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This 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.

The Review of Economics and Statistics

The Review of Economics and Statistics
Title The Review of Economics and Statistics PDF eBook
Author
Publisher
Pages 498
Release 1920
Genre Economics
ISBN

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The purpose of the Review is to promote the collection, criticism, and interpretation of economic statistics, with a view to making them more accurate and valuable than they are at present for business and scientific purposes.

Exploratory Data Analysis in Business and Economics

Exploratory Data Analysis in Business and Economics
Title Exploratory Data Analysis in Business and Economics PDF eBook
Author Thomas Cleff
Publisher Springer Science & Business Media
Pages 234
Release 2013-11-12
Genre Business & Economics
ISBN 3319015176

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In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business and Economics”, aims to familiarise students of economics and business as well as practitioners in firms with the basic principles, techniques, and applications of descriptive statistics and data analysis. Drawing on practical examples from business settings, it demonstrates the basic descriptive methods of univariate and bivariate analysis. The textbook covers a range of subject matter, from data collection and scaling to the presentation and univariate analysis of quantitative data, and also includes analytic procedures for assessing bivariate relationships. It does not confine itself to presenting descriptive statistics, but also addresses the use of computer programmes such as Excel, SPSS, and STATA, thus treating all of the topics typically covered in a university course on descriptive statistics. The German edition of this textbook is one of the “bestsellers” on the German market for literature in statistics.