Limit search to available items
Book Cover
Author Mittelhammer, Ron.

Title Mathematical statistics for economics and business / Ron C. Mittelhammer
Edition Second edition
Published New York : Springer, [2013]
Online access available from:
Springer eBooks    View Resource Record  


Description 1 online resource : illustrations
Contents Elements of Probability Theory -- Random Variables, Densities, and Cumulative Distribution Functions -- Expectations and Moments of Random Variables -- Parametric Families of Density Functions -- Basic Asymptotics -- Sampling, Sample Moments and Sampling Distributions -- Point Estimation Theory -- Point Estimation Methods -- Hypothesis Testing Theory -- Hypothesis Testing Methods and Confidence Regions
Summary 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
Notes Includes index
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Commercial statistics.
Mathematical statistics.
Form Electronic book
ISBN 1461450217 (print)
1461450225 (electronic bk.)
9781461450214 (print)
9781461450221 (electronic bk.)