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Understanding Regression Analysis
Michael Patrick Allen
€ 123.74
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Description for Understanding Regression Analysis
Paperback. Discusses: 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; structural equation models and influence statistics; and more. Num Pages: 216 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 12. Weight in Grams: 730.
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:
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 ... Read more
Product Details
Format
Paperback
Publication date
2004
Publisher
Springer Science+Business Media United States
Number of pages
216
Condition
New
Number of Pages
216
Place of Publication
, United States
ISBN
9780306484339
SKU
V9780306484339
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Understanding Regression Analysis
"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)