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Books like Design of Experiments by Max Morris


Design of Experiments provides a clear, introductory treatment of linear models and experimental design. The author begins with classical, non‑matrix approaches and then translates concepts into a matrix‑based framework, helping beginners grasp the transition. Throughout, theory is illustrated with practical, worked examples that reinforce understanding of regression analysis and analysis of variance. The balanced coverage makes the book suitable for teaching a course while remaining accessible to readers new to the subject. The text’s refreshing style and thorough treatment distinguish it from other titles on similar topics.
First publish date: February 26, 2009
Genre: Education & Language/Education
Authors: Max Morris
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Design of Experiments by Max Morris

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Books similar to Design of Experiments (9 similar books)

Applied linear statistical models by 12663374|John Neter book cover

📘 Applied linear statistical models
 by John Neter

Applied Linear Statistical Models – a comprehensive textbook by John Neter that covers linear models, regression analysis, analysis of variance, and experimental design for statisticians and researchers.

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Experiments, design, and analysis by 2078365|J. A. John book cover

📘 Experiments, design, and analysis
 by J. A. John

296 pages : 25 cm

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Regression & Linear Modeling by 8049268|Jason W. Osborne book cover

📘 Regression & Linear Modeling
 by Jason W. Osborne

A practical guide to regression and linear modeling that covers ordinary least squares, logistic, ordinal, Poisson, and loglinear techniques with a focus on assumptions, data quality, and nonlinear extensions.

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A first course in the theory of linear statistical models by 10230932|Raymond H. Myers book cover

📘 A first course in the theory of linear statistical models
 by Raymond H. Myers

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

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Design and Analysis of Experiments by 7493589|M.N. Das book cover

📘 Design and Analysis of Experiments
 by M.N. Das


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Student solutions manual for use with Applied linear regression models, third edition and Applied linear statistical models, fourth edition by 12663374|John Neter book cover

📘 Student solutions manual for use with Applied linear regression models, third edition and Applied linear statistical models, fourth edition
 by John Neter


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Methods and applications of linear models by 8855269|R. R. Hocking book cover

📘 Methods and applications of linear models
 by R. R. Hocking

A popular statistical text, now updated and better than ever!

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Design of experiments by 6708775|R. O. Kuehl book cover

📘 Design of experiments
 by R. O. Kuehl

Robert Kuehl's DESIGN OF EXPERIMENTS, Second Edition, prepares students to design and analyze experiments that will help them succeed in the real world. Kuehl uses a large array of real data sets from a broad spectrum of scientific and technological fields. This approach provides realistic settings for conducting actual research projects. Next, he emphasizes the importance of developing a treatment design based on a research hypothesis as an initial step, then developing an experimental or observational study design that facilitates efficient data collection. In addition to a consistent focus on research design, Kuehl offers an interpretation for each analysis.

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Applied linear statistical models by 5598899|Michael H. Kutner book cover

📘 Applied linear statistical models
 by Michael H. Kutner


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Some Other Similar Books

Statistics for Experimenters: Design, Innovation, and Discovery by George E. P. Box, J. Stuart Hunter, William G. Hunter
Design and Analysis of Experiments by Masterman J. L. Perry
The Design of Experiments by Sir Ronald A. Fisher
Statistics: An Introduction using R by Michael J. Crawley
Applied Experimental Design and Analysis by Douglas C. Montgomery
Design of Experiments: A Realistic Approach by Thomas R. Kuklinski
Practical Design of Experiments by Paul W. M. Green and David J. Mallet
Experimental Design: Procedures for the behavioral sciences by Roger E. Kirk
Optimal Design of Experiments: A Case Study Approach by Peter Goos, J. S. R. J. P. Verdonk

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