Introduction to Statistical Limit Theory

By: Alan M. Polansky

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Paperback | 23 October 2019 | Edition Number 1

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648 Pages

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23.4 x 15.6 x 3.3

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Helping students develop a good understanding of asymptotic theory, Introduction to Statistical Limit Theory provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. It also discusses how the results can be applied to several common areas in the field.

The author explains as much of the background material as possible and offers a comprehensive account of the modes of convergence of random variables, distributions, and moments, establishing a firm foundation for the applications that appear later in the book. The text includes detailed proofs that follow a logical progression of the central inferences of each result. It also presents in-depth explanations of the results and identifies important tools and techniques. Through numerous illustrative examples, the book shows how asymptotic theory offers deep insight into statistical problems, such as confidence intervals, hypothesis tests, and estimation.

With an array of exercises and experiments in each chapter, this classroom-tested book gives students the mathematical foundation needed to understand asymptotic theory. It covers the necessary introductory material as well as modern statistical applications, exploring how the underlying mathematical and statistical theories work together.

Industry Reviews

This book is clearly aimed at the student learning the material. The prose is clear and graphs are used well to illustrate concepts. Students will really like the large number of worked concrete examples. ? Each chapter has exercises and R projects that would be very helpful to solidify the understanding of the material in the chapter. These and the worked examples would make this an excellent choice for the student attempting to learn the material through self-study ?
?MAA Reviews, June 2011

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