This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems. An important goal has been to make the topics accessible to a wide audience, with little overt reliance on measure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimation and testing, Bayesian inference, basic asymptotic results) plus selections from M-estimation and related testing and resampling methodology. Dennis Boos and Len Stefanski are professors in the Department of Statistics at North Carolina State. Their research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error, including a co-authored book on non-linear measurement error models. In recent years the authors have jointly worked on variable selection methods.
Want the streamlined approach to statistics? ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, ABBREVIATED EDITION explains updated statistical methods in simple ways. This Homework Edition is a low-cost streamlined version that includes all problems and end-of-chapter exercises online so you can work problems actively. Plus, you can save time, learn more, and succeed in the course with ThomsonNOW, an online suite of resources that gives you the choices and tools you need to study smarter and get the grade.
This new edition provides a brief introduction to business statistics that balances a conceptual understanding of statistics with the real-world application of statistical methodology. The latest version of Microsoft Excel is integrated throughout the text, showing step-by-step instructions and screen captures to enhance learning. The authors have been writing market-leading business statistics textbooks for over 20 years. This new edition contains the same learning features that have made ASW products best-sellers for years; features such as the problem-scenario approach, and real-world examples that introduce statistical techniques.
In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps students discover the nature of statistics and understand its essential role in scientific research. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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