Statistical Inference a Concise Course (Hardcover)

Robert B. ASH

ISBN 10: 0486481581 / ISBN 13: 9780486481586

Verlag: Dover Publications Inc., New York, 2011

Beschreibung

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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Bestandsnummer des Verkäufers 9780486481586

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

Über 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.

Über 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.