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Mathematical Statistics for Economics and Business

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Item specifics

Condition
Like New: A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is ...
ISBN
9781461450214

About this product

Product Identifiers

Publisher
Springer New York
ISBN-10
1461450217
ISBN-13
9781461450214
eBay Product ID (ePID)
159956405

Product Key Features

Number of Pages
Xxix, 755 Pages
Publication Name
Mathematical Statistics for Economics and Business
Language
English
Publication Year
2013
Subject
Probability & Statistics / General, Econometrics, Statistics
Type
Textbook
Subject Area
Mathematics, Business & Economics
Author
Ron C. Mittelhammer
Format
Hardcover

Dimensions

Item Weight
730.7 Oz
Item Length
11 in
Item Width
8.3 in

Additional Product Features

Edition Number
2
Intended Audience
Scholarly & Professional
Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
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.
Synopsis
In its updated Second Edition, this is a comprehensive survey of the principles of mathematical statistics which underpin statistical analyses in economics, business, and econometrics. Includes some 300 problems and exercises, and a downloadable answer manual., 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 withassociated 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.
LC Classification Number
QA273.A1-274.9

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