Books+ Search Results

Mathematical Statistics for Economics and Business

Title
Mathematical Statistics for Economics and Business [electronic resource] / by Ron C. Mittelhammer.
ISBN
9781461450221
Edition
2nd ed. 2013.
Published
New York, NY : Springer New York : Imprint: Springer, 2013.
Physical Description
XXIX, 742 p. 93 illus. digital.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
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. 
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
April 03, 2013
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.
Citation

Available from:

Online
Loading holdings.
Unable to load. Retry?
Loading holdings...
Unable to load. Retry?