Mathematical statistics for economics and business / Ron C. Mittelhammer.
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TextPublication details: New York : Springer, 2013.Edition: 2nd edDescription: xxvii, 742 : ill. ; 25 cmISBN: - 9781461450214
- 23 M685 000SB:330
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SB:330 M685 (Browse shelf(Opens below)) | Available | 135679 |
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| 000SB:330 M657 Time series techniques for economists | 000SB:330 M657 Statistics for applied economics and business | 000SB:330 M684 Introductory economic statistics | 000SB:330 M685 Mathematical statistics for economics and business / | 000SB:330 M851 On the accuracy of economic observations | 000SB:330 N469 Fundamental statistics for business and economics | 000SB:330 N469 Fundamental statistics for business and economics |
Includes index.
1. Elements of Probability Theory.-
2. Random Variables, Densities, and Cumulative Distribution Functions.-
3. Expectations and Moments of Random Variables.-
4. Parametric Families of Density Functions.-
5. Basic Asymptotics.-
6. Sampling, Sample Moments, Sampling Distributions, and Simulation.-
7. Point Estimation Theory.-
8. Point Estimation Methods.-
9. Hypothesis Testing Theory.-
10. Hypothesis Testing Methods and Confidence Regions.- Appendix--
Useful Tables--
Index.
"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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