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Mathematical Statistics for Economics and Business, by Ron C. Mittelhammer
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A comprehensive introduction to the principles underlying statistical analyses in the fields of economics, business, and econometrics. The selection of topics is specifically designed to provide students with a substantial conceptual foundation, from which to achieve a thorough and mature understanding of statistical applications within the fields. After introducing the concepts of probability, random variables, and probability density functions, the author develops the key concepts of mathematical statistics, 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. Includes hundreds of exercises and problems.
- Sales Rank: #2289866 in Books
- Published on: 1996-02-28
- Original language: English
- Number of items: 1
- Dimensions: 9.57" h x 1.74" w x 8.36" l, 4.49 pounds
- Binding: Hardcover
- 742 pages
About the Author
Ron C. Mittelhammer is Regents Professor of Economic Sciences and Statistics at Washington State University. He is the author of Mathematical Statistics for Economics and Business (1996), lead coauthor with George G. Judge and Douglas J. Miller of Econometric Foundations (Cambridge University Press, 2000), and the author of numerous book chapters and articles in refereed economics, statistics, and econometrics journals. Professor Mittelhammer's current research focuses on econometric theory for applications in a range of economics fields. With more than two decades of graduate-level teaching experience, his skill as a teacher of statistics and econometrics is documented by teaching evaluations and awards. He served as president of the Agricultural and Applied Economics Association in 2009 10.
Most helpful customer reviews
8 of 9 people found the following review helpful.
Fantastic Book
By C. Ang
This is an excellent book on mathematical statistics. Although the treatment is less mathematical than if it were written for engineers or mathematicians, the gist of the topics is clearly written and the format is easy to follow. It covers all major topics needed for a firm understanding of mathematical statistics, and is a good background to econometric theory. I must admit that I did not know who the author was prior to reading this book, but he is one of the more decent writers out there who uses the right amount of mathematics to get the point across.
6 of 7 people found the following review helpful.
Excellent Prep for Econ PhD
By Econ Student
I bought this book because I was worried about starting an Econ PhD program without any experience in mathematical statistics. I am so incredibly pleased with my purchase. The author clearly lays out the axiomatic theory of probability and then continues to mathematical statistics, using many examples drawn entirely from economics. It is so helpful to see the connection to the material where I will actually be using probability. I'm so glad that I bought this book instead of a more general approach to probability and statistics.
10 of 13 people found the following review helpful.
The Book which Bridges the Gap
By tauhidur rahman
....simply excellent book with analytical and intuitive vigor.Ron Mittelhammer,in this book ,brings what every professional and student needed-STATISTICS IN ECONOMICS AND ECONOMICS IN STATISTICS.....for me it is the best book I have read on statistics.A must book for every graduate student and professional in economics,business,finance and statistics.
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