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Regression Analysis: Theory, Methods, and Applications
Sen, Ashish; Srivastava, Muni S.
€ 151.58
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Description for Regression Analysis: Theory, Methods, and Applications
hardcover. A treatment of the theory, methods, and applications of regression analysis. Suitable for those who are interested in the theory as well as those whose interests lie primarily with applications, it offers real-life examples drawn from many disciplines, showing the difficulties typically encountered in the practice of regression analysis. Series: Springer Texts in Statistics. Num Pages: 364 pages, biography. BIC Classification: JMAF; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 22. Weight in Grams: 698.
Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em pirically identifying how a variable is affected by other variables, regression methods have become essential in a wide range of fields, including the social sciences, engineering, medical research and business. Of the various methods of performing regression, least squares is the most widely used. In fact, linear least squares regression is by far the most widely used of any statistical technique. Although nonlinear least squares ... Read more
Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em pirically identifying how a variable is affected by other variables, regression methods have become essential in a wide range of fields, including the social sciences, engineering, medical research and business. Of the various methods of performing regression, least squares is the most widely used. In fact, linear least squares regression is by far the most widely used of any statistical technique. Although nonlinear least squares ... Read more
Product Details
Format
Hardback
Publication date
1990
Publisher
Springer United States
Number of pages
364
Condition
New
Series
Springer Texts in Statistics
Number of Pages
348
Place of Publication
New York, NY, United States
ISBN
9780387972114
SKU
V9780387972114
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Regression Analysis: Theory, Methods, and Applications
"I found this to be the most complete and up-to-date regression text I have come across...this text has much to offer." -Journal of the American Statistical Association "The material is presented in a lucid and easy-to-understand style...can be ranked as one of the best textbooks on regression in the market." -mathermatical Reviews "...a successful mix of theory and practice...It will ... Read more