Understanding Regression Analysis

Michael Patrick Allen

ISBN 10: 0306484331 / ISBN 13: 9780306484339

Published by Springer US, Springer US, 2004

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9780306484339

Bibliographic Details

• Title: Understanding Regression Analysis
• Publisher: Springer US, Springer US
• Publication Date: 2004
• Language: English
• ISBN 10: 0306484331
• ISBN 13: 9780306484339
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.

Review

"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)