Analysis Of Variance And Covariance PDF Download
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Author | : C. Patrick Doncaster |
Publisher | : Cambridge University Press |
Total Pages | : 304 |
Release | : 2007-08-30 |
Genre | : Medical |
ISBN | : 9780521865623 |
Download Analysis of Variance and Covariance Book in PDF, ePub and Kindle
Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The book will serve as a tool to help post-graduates and professionals define their hypotheses, design appropriate experiments, translate them into a statistical model, validate the output from statistics packages and verify results. The systematic layout makes it easy for readers to identify which types of model best fit the themes they are investigating, and to evaluate the strengths and weaknesses of alternative experimental designs. In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts.
Author | : Bradley Huitema |
Publisher | : John Wiley & Sons |
Total Pages | : 562 |
Release | : 2011-10-24 |
Genre | : Mathematics |
ISBN | : 1118067460 |
Download The Analysis of Covariance and Alternatives Book in PDF, ePub and Kindle
A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised and updated to feature an in-depth review of prerequisites and the latest developments in the field. The author begins with a discussion of essential topics relating to experimental design and analysis, including analysis of variance, multiple regression, effect size measures and newly developed methods of communicating statistical results. Subsequent chapters feature newly added methods for the analysis of experiments with ordered treatments, including two parametric and nonparametric monotone analyses as well as approaches based on the robust general linear model and reversed ordinal logistic regression. Four groundbreaking chapters on single-case designs introduce powerful new analyses for simple and complex single-case experiments. This Second Edition also features coverage of advanced methods including: Simple and multiple analysis of covariance using both the Fisher approach and the general linear model approach Methods to manage assumption departures, including heterogeneous slopes, nonlinear functions, dichotomous dependent variables, and covariates affected by treatments Power analysis and the application of covariance analysis to randomized-block designs, two-factor designs, pre- and post-test designs, and multiple dependent variable designs Measurement error correction and propensity score methods developed for quasi-experiments, observational studies, and uncontrolled clinical trials Thoroughly updated to reflect the growing nature of the field, Analysis of Covariance and Alternatives is a suitable book for behavioral and medical scineces courses on design of experiments and regression and the upper-undergraduate and graduate levels. It also serves as an authoritative reference work for researchers and academics in the fields of medicine, clinical trials, epidemiology, public health, sociology, and engineering.
Author | : Albert R. Wildt |
Publisher | : SAGE |
Total Pages | : 100 |
Release | : 1978-11 |
Genre | : Social Science |
ISBN | : 9780803911642 |
Download Analysis of Covariance Book in PDF, ePub and Kindle
This book presents a technique for analyzing the effects of variables, groups, and treatments in both experimental and observational settings. It considers not only the main effects of one variable upon another, but also the effects of group cases.
Author | : Alan C. Elliott |
Publisher | : SAGE |
Total Pages | : 280 |
Release | : 2007 |
Genre | : Computers |
ISBN | : 9781412925600 |
Download Statistical Analysis Quick Reference Guidebook Book in PDF, ePub and Kindle
A practical `cut to the chase′ handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results and reporting outcomes.
Author | : Howard E.A. Tinsley |
Publisher | : Academic Press |
Total Pages | : 751 |
Release | : 2000-05-22 |
Genre | : Mathematics |
ISBN | : 0080533566 |
Download Handbook of Applied Multivariate Statistics and Mathematical Modeling Book in PDF, ePub and Kindle
Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities.
Author | : Albert R. Wildt |
Publisher | : SAGE |
Total Pages | : 100 |
Release | : 1978-11 |
Genre | : Social Science |
ISBN | : 9780803911642 |
Download Analysis of Covariance Book in PDF, ePub and Kindle
This book presents a technique for analyzing the effects of variables, groups, and treatments in both experimental and observational settings. It considers not only the main effects of one variable upon another, but also the effects of group cases.
Author | : Jin-Ting Zhang |
Publisher | : CRC Press |
Total Pages | : 406 |
Release | : 2013-06-18 |
Genre | : Mathematics |
ISBN | : 1439862745 |
Download Analysis of Variance for Functional Data Book in PDF, ePub and Kindle
Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the reconstruction of functional observations, functional ANOVA, functional l
Author | : Harold R. Lindman |
Publisher | : Springer Science & Business Media |
Total Pages | : 532 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461397227 |
Download Analysis of Variance in Experimental Design Book in PDF, ePub and Kindle
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 | : Andrew Rutherford |
Publisher | : John Wiley & Sons |
Total Pages | : 358 |
Release | : 2012-08-29 |
Genre | : Mathematics |
ISBN | : 1118491696 |
Download ANOVA and ANCOVA Book in PDF, ePub and Kindle
Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments. With its organized and comprehensive presentation, the book successfully guides readers through conventional statistical concepts and how to interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA. The book begins with a brief history of the separate development of ANOVA and regression analyses, and then goes on to demonstrate how both analyses are incorporated into the understanding of GLMs. This new edition now explains specific and multiple comparisons of experimental conditions before and after the Omnibus ANOVA, and describes the estimation of effect sizes and power analyses leading to the determination of appropriate sample sizes for experiments to be conducted. Topics that have been expanded upon and added include: Discussion of optimal experimental designs Different approaches to carrying out the simple effect analyses and pairwise comparisons with a focus on related and repeated measure analyses The issue of inflated Type 1 error due to multiple hypotheses testing Worked examples of Shaffer's R test, which accommodates logical relations amongst hypotheses ANOVA and ANCOVA: A GLM Approach, Second Edition is an excellent book for courses on linear modeling at the graduate level. It is also a suitable reference for researchers and practitioners in the fields of psychology and the biomedical and social sciences.
Author | : Henry Scheffé |
Publisher | : John Wiley & Sons |
Total Pages | : 500 |
Release | : 1999-03-05 |
Genre | : Mathematics |
ISBN | : 9780471345053 |
Download The Analysis of Variance Book in PDF, ePub and Kindle
Originally published in 1959, this classic volume has had a major impact on generations of statisticians. Newly issued in the Wiley Classics Series, the book examines the basic theory of analysis of variance by considering several different mathematical models. Part I looks at the theory of fixed-effects models with independent observations of equal variance, while Part II begins to explore the analysis of variance in the case of other models.