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Author : D. D. Joshi
Publisher : New Age International
ISBN 13 : 9780852265178
Total Pages : 308 pages
Book Rating : 4.2/5 (651 download)
Download or read book Linear Estimation and Design of Experiments written by D. D. Joshi and published by New Age International. This book was released on 1987 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Max Morris
Publisher : CRC Press
ISBN 13 : 1439894906
Total Pages : 376 pages
Book Rating : 4.4/5 (398 download)
Download or read book Design of Experiments written by Max Morris and published by CRC Press. This book was released on 2010-07-27 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 experiment
Author : N. R. Mohan Madhyastha
Publisher : Springer Nature
ISBN 13 : 9811586594
Total Pages : 230 pages
Book Rating : 4.8/5 (115 download)
Download or read book A First Course in Linear Models and Design of Experiments written by N. R. Mohan Madhyastha and published by Springer Nature. This book was released on 2020-11-13 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents the basic concepts of linear models, design and analysis of experiments. With the rigorous treatment of topics and provision of detailed proofs, this book aims at bridging the gap between basic and advanced topics of the subject. Initial chapters of the book explain linear estimation in linear models and testing of linear hypotheses, and the later chapters apply this theory to the analysis of specific models in designing statistical experiments. The book includes topics on the basic theory of linear models covering estimability, criteria for estimability, Gauss–Markov theorem, confidence interval estimation, linear hypotheses and likelihood ratio tests, the general theory of analysis of general block designs, complete and incomplete block designs, general row column designs with Latin square design and Youden square design as particular cases, symmetric factorial experiments, missing plot technique, analyses of covariance models, split plot and split block designs. Every chapter has examples to illustrate the theoretical results and exercises complementing the topics discussed. R codes are provided at the end of every chapter for at least one illustrative example from the chapter enabling readers to write similar codes for other examples and exercise.
Author : John H. Skillings
Publisher : Routledge
ISBN 13 : 1351469975
Total Pages : 696 pages
Book Rating : 4.3/5 (514 download)
Download or read book A First Course in the Design of Experiments written by John H. Skillings and published by Routledge. This book was released on 2018-05-08 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Angela Dean
Publisher : CRC Press
ISBN 13 : 146650434X
Total Pages : 946 pages
Book Rating : 4.4/5 (665 download)
Download or read book Handbook of Design and Analysis of Experiments written by Angela Dean and published by CRC Press. This book was released on 2015-06-26 with total page 946 pages. Available in PDF, EPUB and Kindle. Book excerpt: This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses. It provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook covers many recent advances in the field, including designs for nonlinear models and algorithms applicable to a wide variety of design problems. It also explores the extensive use of experimental designs in marketing, the pharmaceutical industry, engineering and other areas.
Author : Valerii V. Fedorov
Publisher : Springer Science & Business Media
ISBN 13 : 9780387982151
Total Pages : 136 pages
Book Rating : 4.9/5 (821 download)
Download or read book Model-Oriented Design of Experiments written by Valerii V. Fedorov and published by Springer Science & Business Media. This book was released on 1997-06-20 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here, the authors explain the basic ideas so as to generate interest in modern problems of experimental design. The topics discussed include designs for inference based on nonlinear models, designs for models with random parameters and stochastic processes, designs for model discrimination and incorrectly specified (contaminated) models, as well as examples of designs in functional spaces. Since the authors avoid technical details, the book assumes only a moderate background in calculus, matrix algebra, and statistics. However, at many places, hints are given as to how readers may enhance and adopt the basic ideas for advanced problems or applications. This allows the book to be used for courses at different levels, as well as serving as a useful reference for graduate students and researchers in statistics and engineering.
Author : Douglas C. Montgomery
Publisher : Wiley
ISBN 13 : 9780471661597
Total Pages : 0 pages
Book Rating : 4.6/5 (615 download)
Download or read book Design and Analysis of Experiments written by Douglas C. Montgomery and published by Wiley. This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.
Author : Manindra Nath Das
Publisher : New Age International
ISBN 13 : 9780852269145
Total Pages : 506 pages
Book Rating : 4.2/5 (691 download)
Download or read book Design and Analysis of Experiments written by Manindra Nath Das and published by New Age International. This book was released on 1979 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : D. D. Joshi
Publisher : Wiley
ISBN 13 : 9780470207406
Total Pages : 288 pages
Book Rating : 4.2/5 (74 download)
Download or read book Linear Estimation & Experimental Designs written by D. D. Joshi and published by Wiley. This book was released on 1987-12-28 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers the general mathematical theory of linear estimation and illustrates how the theory can be applied to the analysis of experimental data. Offers an integrated approach, placing proportionate emphasis on mathematical theory, its application to standard designs, and computational techniques. Provides the reader with a broad experience of the whole field, and instills the facility to apply the techniques to new designs as they are encountered. A special feature is the use throughout of R. C. Bose's approach to the theory of least squares, which completely avoids the use of side-conditions in the solution of normal equations. Chapters cover linear transformations and projections, multivariate normal and associated distributions, linear estimation, sums of squares, tests of linear hypotheses, the completely randomized design, incomplete block design: general theory, the general factorial experiment, the 3n factorial experiment, analysis of covariance, and more.
Author : Oscar Kempthorne
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 664 pages
Book Rating : 4.3/5 (91 download)
Download or read book Design and Analysis of Experiments written by Oscar Kempthorne and published by John Wiley & Sons. This book was released on 1952-01-15 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: The principles of experimental design. An introduction to the therory of least squares. The general lenear hypothesis or multiple regression and the analysis of variance. The analysis of multipli classifications. Randomization. The valdity of analysis of randomized experiments. Randomized. Latin squares. Plot technique. The sensitivity of randomized blook and latin square experiments. Experiments involving sevaral factors. Confonding in 2 factorial experiments. Partial confounding in 2 factorial experiments. Experiments involving factors with 3 levels. The general p factorial system. Other factorial experiments. Split-plot experiments. Fractional replication. The general case of fractional replication. Quasifactorial or latice and incomplete block designs. Lattice designs. Lattice designs with two restrictions. Rectangular lattices. Balanced incomplete block designs. Partially balanced incomplete block designs.Experiments on infinite populations and groups of experiments. Treatments applied in sequence.
Author : Gerry P. Quinn
Publisher : Cambridge University Press
ISBN 13 : 1139432893
Total Pages : 851 pages
Book Rating : 4.1/5 (394 download)
Download or read book Experimental Design and Data Analysis for Biologists written by Gerry P. Quinn and published by Cambridge University Press. This book was released on 2002-03-21 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software.
Author : Mukunda C. Chakrabarti
Publisher :
ISBN 13 :
Total Pages : 142 pages
Book Rating : 4.:/5 (89 download)
Download or read book Mathematics of Design and Analysis of Experiments written by Mukunda C. Chakrabarti and published by . This book was released on 1970 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theory of linear estimation; General structure of analysis of designs; Standard designs; Applications of galois fields and finite geometry in the construction of designs; Some selected topics in design of experiments.
Author : R. Mead
Publisher : Cambridge University Press
ISBN 13 : 9780521287623
Total Pages : 640 pages
Book Rating : 4.2/5 (876 download)
Download or read book The Design of Experiments written by R. Mead and published by Cambridge University Press. This book was released on 1990-07-26 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: In all the experimental sciences, good design of experiments is crucial to the success of research. Well-planned experiments can provide a great deal of information efficiently and can be used to test several hypotheses simultaneously. This book is about the statistical principles of good experimental design and is intended for all applied statisticians and practising scientists engaged in the design, implementation and analysis of experiments. Professor Mead has written the book with the emphasis on the logical principles of statistical design and employs a minimum of mathematics. Throughout he assumes that the large-scale analysis of data will be performed by computers and he is thus able to devote more attention to discussions of how all of the available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from medicine, agriculture, industry and other disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design of experiments can make to a scientific project.
Author : William Mendenhall
Publisher :
ISBN 13 :
Total Pages : 488 pages
Book Rating : 4.:/5 (318 download)
Download or read book Introduction to Linear Models and the Design and Analysis of Experiments written by William Mendenhall and published by . This book was released on 1968 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: The information in an experiment; Linear statistical models; Some noise-reducing experimental designs; An example of a volume increasing design; Fitting the general linear model; Inference making; Multiparameter hypotheses: the analysis of variance; The effect of coding on the analysis; Seeking a maximum or minimum response; Fractional factorial experiments and incomplete block designs; An example of a completely random model; Mixed models.
Author : Douglas C. Montgomery
Publisher : John Wiley & Sons
ISBN 13 : 0470128666
Total Pages : 413 pages
Book Rating : 4.4/5 (71 download)
Download or read book Design and Analysis of Experiments written by Douglas C. Montgomery and published by John Wiley & Sons. This book was released on 2008-07-28 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.
Author : Thomas J. Santner
Publisher : Springer
ISBN 13 : 1493988476
Total Pages : 436 pages
Book Rating : 4.4/5 (939 download)
Download or read book The Design and Analysis of Computer Experiments written by Thomas J. Santner and published by Springer. This book was released on 2019-01-08 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: • An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples • A new comparison of plug-in prediction methodologies for real-valued simulator output • An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions • A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization • A new chapter describing graphical and numerical sensitivity analysis tools • Substantial new material on calibration-based prediction and inference for calibration parameters • Lists of software that can be used to fit models discussed in the book to aid practitioners
Author : Jürgen Pilz
Publisher :
ISBN 13 :
Total Pages : 316 pages
Book Rating : 4.3/5 (91 download)
Download or read book Bayesian Estimation and Experimental Design in Linear Regression Models written by Jürgen Pilz and published by . This book was released on 1991-07-09 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a clear treatment of the design and analysis of linear regression experiments in the presence of prior knowledge about the model parameters. Develops a unified approach to estimation and design; provides a Bayesian alternative to the least squares estimator; and indicates methods for the construction of optimal designs for the Bayes estimator. Material is also applicable to some well-known estimators using prior knowledge that is not available in the form of a prior distribution for the model parameters; such as mixed linear, minimax linear and ridge-type estimators.
