Understanding Regression Analysis (Hardcover)

Michael Patrick Allen

ISBN 10: 0306456486 / ISBN 13: 9780306456480

Editore: Springer Science+Business Media, New York, 1997

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Hardcover. By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of mathematics. Chapters discuss:-descriptive statistics using vector notation and the components of a simple regression model;-the logic of sampling distributions and simple hypothesis testing; -the basic operations of matrix algebra and the properties of the multiple regression model; -testing compound hypotheses and the application of the regression model to the analyses of variance and covariance, and -structural equation models and influence statistics. By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of mathematics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Codice articolo 9780306456480

Dati bibliografici

• Titolo: Understanding Regression Analysis (Hardcover)
• Editore: Springer Science+Business Media, New York
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 0306456486
• ISBN 13: 9780306456480
• Rilegatura: Hardcover
• Condizione: new

Descrizione articolo

Riassunto

By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of mathematics. Chapters discuss:

-descriptive statistics using vector notation and the components of a simple regression model;
-the logic of sampling distributions and simple hypothesis testing;
-the basic operations of matrix algebra and the properties of the multiple regression model; -testing compound hypotheses and the application of the regression model to the analyses of variance and covariance, and
-structural equation models and influence statistics.

Recensione

"Allen's book will, no doubt, earn the praises of statistics instructors and students alike...Provides the reader a thorough, yet lucid, journey through a variety of statistical concepts...This gem should be made a part of every prospective statistician's collection. Undergraduates through professional."
(Choice, March 1998)