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001 978-1-4614-5022-1
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020 _a9781461450221
_9978-1-4614-5022-1
024 _a10.1007/978-1-4614-5022-1
_2doi
050 _aQA273.A1-274.9
050 _aQA274-274.9
072 _aPBT
_2bicssc
072 _aMAT029000
_2bisacsh
072 _aPBT
_2thema
072 _aPBWL
_2thema
082 _a519.2
_223
100 _aMittelhammer, Ron C.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 _aMathematical Statistics for Economics and Business
_h[electronic resource] /
_cby Ron C. Mittelhammer.
250 _a2nd ed. 2013.
264 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXXIX, 755 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 _aElements 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.
520 _aMathematical 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. .
650 _aProbabilities.
650 _aStatistics .
650 _aEconometrics.
650 _aProbability Theory and Stochastic Processes.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M27004
650 _aStatistics, general.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S0000X
650 _aStatistics for Business, Management, Economics, Finance, Insurance.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S17010
650 _aEconometrics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/W29010
710 _aSpringerLink (Online service)
773 _tSpringer Nature eBook
776 _iPrinted edition:
_z9781461450214
776 _iPrinted edition:
_z9781461450238
776 _iPrinted edition:
_z9781489989505
856 _uhttps://doi.org/10.1007/978-1-4614-5022-1
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c9359
_d9359