Introduction To Linear Models And Experimental Design
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Introduction To Linear Models And Experimental Design
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Author : J. Arthur Woodward
language : en
Publisher:
Release Date : 1990-03-01
Introduction To Linear Models And Experimental Design written by J. Arthur Woodward and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-03-01 with categories.
Design Of Experiments
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Author : Max Morris
language : en
Publisher: CRC Press
Release Date : 2010-07-27
Design Of Experiments written by Max Morris and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-27 with Mathematics categories.
Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for understanding the statistical aspects of experimental design as a whole within the structure provided by general linear models, rather than as a collection of seemingly unrelated solutions to unique problems. The core material can be found in the first thirteen chapters. These chapters cover a review of linear statistical models, completely randomized designs, randomized complete blocks designs, Latin squares, analysis of data from orthogonally blocked designs, balanced incomplete block designs, random block effects, split-plot designs, and two-level factorial experiments. The remainder of the text discusses factorial group screening experiments, regression model design, and an introduction to optimal design. To emphasize the practical value of design, most chapters contain a short example of a real-world experiment. Details of the calculations performed using R, along with an overview of the R commands, are provided in an appendix. This text enables students to fully appreciate the fundamental concepts and techniques of experimental design as well as the real-world value of design. It gives them a profound understanding of how design selection affects the information obtained in an experiment.
Design And Analysis Of Experiments Introduction To Experimental Design
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Author : Klaus Hinkelmann
language : en
Publisher: John Wiley & Sons
Release Date : 1994-03-22
Design And Analysis Of Experiments Introduction To Experimental Design written by Klaus Hinkelmann and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-03-22 with Mathematics categories.
Design and analysis of experiments/Hinkelmann.-v.1.
Experimental Design
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Author : S.N. Deming
language : en
Publisher: Elsevier
Release Date : 1987-01-01
Experimental Design written by S.N. Deming and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-01-01 with Science categories.
Now available in a paperback edition is a book which has been described as ``...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm.'' (Analytical Chemistry). Unlike most current textbooks, it approaches experimental design from the point of view of the experimenter, rather than that of the statistician. As the reviewer in `Analytical Chemistry' went on to say: ``Deming and Morgan should be given high praise for bringing the principles of experimental design to the level of the practicing analytical chemist.''.The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented.The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.
Experimental Design And Analysis
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Author : Steven R. Brown
language : en
Publisher: SAGE
Release Date : 1990
Experimental Design And Analysis written by Steven R. Brown and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Education categories.
"Brown and Melamed's book is one of the best concise treatments of the design and analysis of experiments that I have seen. The authors begin by showing the significance of variability (variance) for the analysis of experiments, and clearly illustrate the utility of the analysis of variance (ANOVA) model to the analysis of experimental data. They also provide a clear discussion of more advanced topics such as nested, factorial, split-plot, and repeated measures designs. Their book is comprehensive, handles each topic deftly, and should be readily accessible to researchers with a good grounding in basic statistics." --Contemporary Sociology "The book is well written and includes useful examples. . . . Useful to researchers in both the planning and analysis phases of an experimental study." --ANNA Journal "Introductory, well written, and has illustrative examples. Highly recommended for introductory courses and self study; the book can be supplemented easily with a treatment of covariates from other available study materials." --Journal of Marketing Research This volume introduces the reader to one of the most fundamental topics in social science statistics--experimental design. The authors clearly show how to select an experimental design based on the number of independent variables, the sources and number of extraneous variables, and the number of subjects. Other topics addressed include variability, hypothesis testing, how ANOVA can be extended to the multi-group situation, the logic of the t test, and completely randomized designs.
Experimental Design And Data Analysis For Biologists
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Author : Gerry P. Quinn
language : en
Publisher: Cambridge University Press
Release Date : 2023-09-07
Experimental Design And Data Analysis For Biologists written by Gerry P. Quinn and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-07 with Mathematics categories.
A biostatistics textbook for upper undergraduate and graduate students, covering analyses used by biologists and now including R code.
Optimal Experimental Design
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Author : Jesús López-Fidalgo
language : en
Publisher: Springer Nature
Release Date : 2023-09-12
Optimal Experimental Design written by Jesús López-Fidalgo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-12 with Mathematics categories.
This textbook provides a concise introduction to optimal experimental design and efficiently prepares the reader for research in the area. It presents the common concepts and techniques for linear and nonlinear models as well as Bayesian optimal designs. The last two chapters are devoted to particular themes of interest, including recent developments and hot topics in optimal experimental design, and real-world applications. Numerous examples and exercises are included, some of them with solutions or hints, as well as references to the existing software for computing designs. The book is primarily intended for graduate students and young researchers in statistics and applied mathematics who are new to the field of optimal experimental design. Given the applications and the way concepts and results are introduced, parts of the text will also appeal to engineers and other applied researchers.
Ucsf General Catalog
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Author : University of California, San Francisco
language : en
Publisher:
Release Date : 1979
Ucsf General Catalog written by University of California, San Francisco and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with categories.
A First Course In The Design Of Experiments
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Author : John H. Skillings
language : en
Publisher: Routledge
Release Date : 2018-05-08
A First Course In The Design Of Experiments written by John H. Skillings and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-08 with Mathematics categories.
Most texts on experimental design fall into one of two distinct categories. There are theoretical works with few applications and minimal discussion on design, and there are methods books with limited or no discussion of the underlying theory. Furthermore, most of these tend to either treat the analysis of each design separately with little attempt to unify procedures, or they will integrate the analysis for the designs into one general technique. A First Course in the Design of Experiments: A Linear Models Approach stands apart. It presents theory and methods, emphasizes both the design selection for an experiment and the analysis of data, and integrates the analysis for the various designs with the general theory for linear models. The authors begin with a general introduction then lead students through the theoretical results, the various design models, and the analytical concepts that will enable them to analyze virtually any design. Rife with examples and exercises, the text also encourages using computers to analyze data. The authors use the SAS software package throughout the book, but also demonstrate how any regression program can be used for analysis. With its balanced presentation of theory, methods, and applications and its highly readable style, A First Course in the Design of Experiments proves ideal as a text for a beginning graduate or upper-level undergraduate course in the design and analysis of experiments.
Applied Regression Analysis And Experimental Design
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Author : Richard J. Brook
language : en
Publisher: Routledge
Release Date : 2018-12-13
Applied Regression Analysis And Experimental Design written by Richard J. Brook and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-13 with Mathematics categories.
For a solid foundation of important statistical methods, the concise, single-source text unites linear regression with analysis of experiments and provides students with the practical understanding needed to apply theory in real data analysis problems. Stressing principles while keeping computational and theoretical details at a manageable level, Applied Regression Analysis and Experimental Design features an emphasis on vector geometry and least squares to unify and provide an intuitive basis for most topics covered... abundant examples and exercises using real-life data sets clearly illustrating practical of data analysis...essential exposure to MINITAB and GENSTAT computer packages , including computer printouts...and important background material such as vector and matrix properties and the distributional properties of quadratic forms. Designed to make theory work for students, this clearly written, easy-to-understand work serves as the ideal texts for courses Regression, Experimental Design, and Linear Models in a broad range of disciplines. Moreover, applied statisticians will find the book a useful reference for the general application of the linear model.