Applied Linear Statistical Models

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  • Applied Linear Statistical Models Book Detail

  • Author : Michael H. Kutner
  • Release Date : 2005
  • Publisher : McGraw-Hill/Irwin
  • Genre : Mathematics
  • Pages : 1396
  • ISBN 13 : 9780072386882
  • File Size : 63,63 MB

Applied Linear Statistical Models by Michael H. Kutner PDF Summary

Book Description: Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences and other topics in regression analysis; Matrix approach to simple linear regression analysis; Multiple linear regression; Nonlinear regression; Design and analysis of single-factor studies; Multi-factor studies; Specialized study designs.

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Applied Linear Statistical Models

Applied Linear Statistical Models

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Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences an

Applied Linear Regression Models

Applied Linear Regression Models

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Kutner, Neter, Nachtsheim, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regress

Applied Regression Modeling

Applied Regression Modeling

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Praise for the First Edition "The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions . .

Applied Linear Regression

Applied Linear Regression

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Master linear regression techniques with a new edition of a classic text Reviews of the Second Edition: "I found it enjoyable reading and so full of interesting