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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliografische Details

Titel: Statistical Inference a Concise Course (Hardcover)
Verlag: Dover Publications Inc., New York
Erscheinungsjahr: 2011
Sprache: Englisch
ISBN-10: 0486481581
ISBN-13: 9780486481586
Einband: Hardcover
Zustand: new

�ber diesen Titel

Inhaltsangabe

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.

�ber die Autorin bzw. den Autor

Robert B. Ash is Professor Emeritus of Mathematics at the University of Illinois. He is the author of eight textbooks.

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