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Statistical Inference a Concise Course (Dover Books on Mathematics)

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Book Details

  • Author: Robert B. Ash

  • Publisher: Dover

  • Language: English

  • Edition: Reprint

  • ISBN: 9780486481586

  • Binding: Paperback

  • Number of Pages: 128

  • Release Date: April 21, 2011

  • Package Dimensions: 9.1 x 6.2 x 0.3 inches


About The Book

Introduction to Statistical Inference by Robert B. Ash offers a concise yet comprehensive course in statistical inference, designed for self-study or review. Class-tested at the University of Illinois, this book requires only a basic understanding of probability and linear algebra, making it ideal for students and professionals looking to build a solid foundation in statistical methods.

The text covers a wide range of important statistical topics, starting with basic probability theory and gradually progressing to more advanced concepts. The first eight chapters focus on key results in probability, including transformations 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, and nonparametric statistics, among others. With 90 problems and solutions, this book provides ample opportunities for practice and application, making it an excellent resource for students in business, government, public administration, and other fields.

Whether you're new to statistical inference or need a quick review of essential concepts, Introduction to Statistical Inference offers a clear, approachable guide to mastering the key methods and formulas of statistical analysis.