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Mathematical Statistics for Economics and Business (Paperback, 2nd ed. 2013)
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Mathematical Statistics for Economics and Business (Paperback, 2nd ed. 2013)
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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.
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