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Title: Mathematical Statistics for Economics and Business
Authors: Mittelh Ammer, Ron C
Keywords: Mathematics;Distribution (Probability theory);Statistics;Economics;Statistics;Econometrics;Mathematics;Probability Theory and Stochastic Processes;Statistics, general;Statistics for Business/Economics/Mathematical Finance/Insurance;Econometrics;519.2 23;QA274-274.9
Issue Date: 2014
Publisher: Springer New York;Imprint Springer,
place: New York, NY
Abstract: 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 studentswith 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; anda theorem anddefinition 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.
Description: Printed edition:;9781461450214.
Table Of 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, Sampling Distributions, and Simulation -- Point Estimation Theory -- Point Estimation Methods -- Hypothesis Testing Theory -- Hypothesis Testing Methods and Confidence Regions -- Appendix.
ISBN: 9781461450221
9781461450214 (print)
Format: [electronic resource] /
Edition: 2nd ed. 2013.
Type Of Material: Book
Appears in Collections:Mathematics

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