Synopsis
This brief course in statistical inference was extensively class tested by the author at the University of Illinois, and it requires only a basic familiarity with probability and matrix and linear algebra. Ninety problems with solutions make it an ideal choice for self-study as well as a helpful review of a wide range of statistical formulas with applications in business, government, public administration, and other fields.
The first eight chapters review results from basic probability that are important to statistics, including transformation of random variables, Jacobians, moment-generating functions, sampling from a normal population, order statistics, and the central limit theorem. Additional subjects include estimation, confidence intervals, hypothesis testing, correlation, nonparametric statistics, and many other topics.
The first eight chapters review results from basic probability that are important to statistics, including transformation of random variables, Jacobians, moment-generating functions, sampling from a normal population, order statistics, and the central limit theorem. Additional subjects include estimation, confidence intervals, hypothesis testing, correlation, nonparametric statistics, and many other topics.
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About the Author
Robert B. Ash is Professor Emeritus of Mathematics at the University of Illinois. He is the author of eight textbooks.
"About this title" may belong to another edition of this title.
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Statistical Inference a Concise Course
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Hardcover. Condition: new. Hardcover. This brief course in statistical inference was extensively class tested by the author at the University of Illinois, and it requires only a basic familiarity with probability and matrix and linear algebra. Ninety problems with solutions make it an ideal choice for self-study as well as a helpful review of a wide range of statistical formulas with applications in business, government, public administration, and other fields. The first eight chapters review results from basic probability that are important to statistics, including transformation of random variables, Jacobians, moment-generating functions, sampling from a normal population, order statistics, and the central limit theorem. Additional subjects include estimation, confidence intervals, hypothesis testing, correlation, nonparametric statistics, and many other topics. This book offers a brief course in statistical inference that requires only a basic familiarity with probability and matrix and linear algebra. Ninety problems with solutions make it an ideal choice for self-study. 2011 edition. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780486481586
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Statistical Inference a Concise Course
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