Experimental Design And The Analysis Of Variance
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Author | : Harold R. Lindman |
Publisher | : Springer Science & Business Media |
Total Pages | : 532 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461397227 |
As an introductory textbook on the analysis of variance or a reference for the researcher, this text stresses applications rather than theory, but gives enough theory to enable the reader to apply the methods intelligently rather than mechanically. Comprehensive, and covering the important techniques in the field, including new methods of post hoc testing. The relationships between different research designs are emphasized, and these relationships are exploited to develop general principles which are generalized to the analyses of a large number of seemingly differentdesigns. Primarily for graduate students in any field where statistics are used.
Author | : Barbara G. Tabachnick |
Publisher | : Brooks/Cole |
Total Pages | : 724 |
Release | : 2007 |
Genre | : Mathematics |
ISBN | : 9780534405144 |
This text reflects the practical approach of the authors. Barbara Tabachnick and Linda Fidell emphasize the use of statistical software in design and analysis of research in addition to conceptual understanding fostered by the presentation and interpretation of fundamental equations. EXPERIMENTAL DESIGN USING ANOVA includes the regression approach to ANOVA alongside the traditional approach, making it clearer and more flexible. The text includes details on how to perform both simple and complicated analyses by hand through traditional means, through regression, and through SPSS and SAS.
Author | : Robert K. Leik |
Publisher | : SAGE Publications |
Total Pages | : 209 |
Release | : 1997-04-19 |
Genre | : Social Science |
ISBN | : 1452250359 |
Why is this Book a Useful Supplement for Your Statistics Course? Most core statistics texts cover subjects like analysis of variance and regression, but not in much detail. This book, as part of our Series in Research Methods and Statistics, provides you with the flexibility to cover ANOVA more thoroughly, but without financially overburdening your students.
Author | : Steven R. Brown |
Publisher | : SAGE |
Total Pages | : 102 |
Release | : 1990 |
Genre | : Social Science |
ISBN | : 9780803938540 |
Experimental design is one of the most fundamental topics in social science statistics. This book introduces the reader to the elements of experimental design and analysis through careful explanations of the procedures as well as through illustrations using actual examples.
Author | : Angela M. Dean |
Publisher | : Springer Science & Business Media |
Total Pages | : 754 |
Release | : 2006-04-06 |
Genre | : Mathematics |
ISBN | : 0387226346 |
This book offers a step-by-step guide to the experimental planning process and the ensuing analysis of normally distributed data, emphasizing the practical considerations governing the design of an experiment. Data sets are taken from real experiments and sample SAS programs are included with each chapter. Experimental design is an essential part of investigation and discovery in science; this book will serve as a modern and comprehensive reference to the subject.
Author | : A. J. Underwood |
Publisher | : Cambridge University Press |
Total Pages | : 536 |
Release | : 1997 |
Genre | : Nature |
ISBN | : 9780521556965 |
First published in 1996, this book is a logical and consistent approach to experimental design using statistical principles.
Author | : Glenn Gamst |
Publisher | : |
Total Pages | : 596 |
Release | : 2008 |
Genre | : Analysis of variance |
ISBN | : 9780511429156 |
This textbook explains ANOVA designs for advanced undergraduates and graduate students in the behavioural sciences.
Author | : Douglas C. Montgomery |
Publisher | : Wiley |
Total Pages | : 0 |
Release | : 2005 |
Genre | : Experimental design |
ISBN | : 9780471661597 |
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 | : Ronald Christensen |
Publisher | : CRC Press |
Total Pages | : 608 |
Release | : 1996-06-01 |
Genre | : Mathematics |
ISBN | : 9780412062919 |
This text presents a comprehensive treatment of basic statistical methods and their applications. It focuses on the analysis of variance and regression, but also addressing basic ideas in experimental design and count data. The book has four connecting themes: similarity of inferential procedures, balanced one-way analysis of variance, comparison of models, and checking assumptions. Most inferential procedures are based on identifying a scalar parameter of interest, estimating that parameter, obtaining the standard error of the estimate, and identifying the appropriate reference distribution. Given these items, the inferential procedures are identical for various parameters. Balanced one-way analysis of variance has a simple, intuitive interpretation in terms of comparing the sample variance of the group means with the mean of the sample variance for each group. All balanced analysis of variance problems are considered in terms of computing sample variances for various group means. Comparing different models provides a structure for examining both balanced and unbalanced analysis of variance problems and regression problems. Checking assumptions is presented as a crucial part of every statistical analysis. Examples using real data from a wide variety of fields are used to motivate theory. Christensen consistently examines residual plots and presents alternative analyses using different transformation and case deletions. Detailed examination of interactions, three factor analysis of variance, and a split-plot design with four factors are included. The numerous exercises emphasize analysis of real data. Senior undergraduate and graduate students in statistics and graduate students in other disciplines using analysis of variance, design of experiments, or regression analysis will find this book useful.
Author | : Thomas P. Ryan |
Publisher | : John Wiley & Sons |
Total Pages | : 624 |
Release | : 2007-02-02 |
Genre | : Mathematics |
ISBN | : 0471210773 |
A complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications. Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of: Conditional effects analysis as a proposed general method of analysis Multiresponse optimization Space-filling designs, including Latin hypercube and uniform designs Restricted regions of operability and debarred observations Analysis of Means (ANOM) used to analyze data from various types of designs The application of available software, including Design-Expert, JMP, and MINITAB This text provides thorough coverage of the topic while also introducing the reader to new approaches. Using a large number of references with detailed analyses of datasets, Modern Experimental Design works as a well-rounded learning tool for beginners as well as a valuable resource for practitioners.