Books like Linear statistical models by Bruce L. Bowerman


First publish date: 1986
Genre: Technology & Computing/Computer Science
Authors: Bruce L. Bowerman
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Linear statistical models by Bruce L. Bowerman

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Books similar to Linear statistical models (11 similar books)

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πŸ“˜ Applied linear statistical models
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Applied Linear Statistical Models – a comprehensive textbook by Johnβ€―Neter that covers linear models, regression analysis, analysis of variance, and experimental design for statisticians and researchers.

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πŸ“˜ Regression & Linear Modeling

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πŸ“˜ A first course in the theory of linear statistical models

A concise guide for advanced undergraduate and beginning graduate students, introducing the theory of linear statistical models.

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πŸ“˜ An introduction to linear statistical models


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πŸ“˜ Applied linear regression

Applied Linear Regression, 3rd Edition by Sanford Weisberg guides students through theory and practice of linear regression, emphasizing model building, graphical diagnostics, and modern techniques like bootstrapping and non-linear extensions.

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πŸ“˜ Applied survival analysis

"Applied Survival Analysis is a comprehensive introduction to regression modeling for time to event data used in epidemiological, biostatistical, and other health-related research. Unlike other texts on the subject, it focuses almost exclusively on practical applications rather than mathematical theory and offers clear, accessible presentations of modern modeling techniques supplemented with real-world examples and case studies. While the authors emphasize the proportional hazards model, descriptive methods and parametric models are also considered in some detail."--BOOK JACKET. "Applied Survival Analysis is an ideal introduction for graduate students in biostatistics and epidemiology, as well as researchers in health-related fields."--BOOK JACKET.

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Some Other Similar Books

Applied Linear Regression by S. C. Gupta
Regression Modeling Strategies by Frank E. Harrell Jr.
Applied Regression Analysis and Generalized Linear Models by John M. Lemeshow
Statistics for Data Analysis and Design of Experiments by Helmut Hetmer
Understanding Regression Analysis by James C. Davis

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