Introduction To Analysis Of Variance
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Introduction To Analysis Of Variance Design Analyis Interpretation
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Author : J. Rick Turner
language : en
Publisher: SAGE
Release Date : 2001-04-13
Introduction To Analysis Of Variance Design Analyis Interpretation written by J. Rick Turner and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-04-13 with Mathematics categories.
Having trouble finding a book that shows you not only how to analyze data but also how to collect the data appropriately and fully interpret the analysis, too? Here′s a new book that does all this in a particularly readable fashion. Turner and Thayer′s text: Shows how to design an experiment in the best possible way to investigate the topic of interest Explains which associated analysis will best answer your research question Demonstrates how to conduct the analysis and then fully interpret the results in the context of your research question Organized so that the reader moves from the simplest type of design to more complex ones, the authors introduce five different kinds of ANOVA techniques and explain which design/analysis is appropriate to answer specific questions. They show how to perform each analysis using only a calculator to provide the reader with a better "feel" for the analyses than simply seeing the mathematical answers on a computer print-out. The book concludes with tips for tests on ANOVA, and descriptions of how to use the knowledge gained from the text to determine the credibility of claims made and "statistics" presented in various types of reports.
The Analysis Of Variance
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Author : Hardeo Sahai
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
The Analysis Of Variance written by Hardeo Sahai and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
The analysis of variance (ANOYA) models have become one of the most widely used tools of modern statistics for analyzing multifactor data. The ANOYA models provide versatile statistical tools for studying the relationship between a dependent variable and one or more independent variables. The ANOYA mod els are employed to determine whether different variables interact and which factors or factor combinations are most important. They are appealing because they provide a conceptually simple technique for investigating statistical rela tionships among different independent variables known as factors. Currently there are several texts and monographs available on the sub ject. However, some of them such as those of Scheffe (1959) and Fisher and McDonald (1978), are written for mathematically advanced readers, requiring a good background in calculus, matrix algebra, and statistical theory; whereas others such as Guenther (1964), Huitson (1971), and Dunn and Clark (1987), although they assume only a background in elementary algebra and statistics, treat the subject somewhat scantily and provide only a superficial discussion of the random and mixed effects analysis of variance.
Introducing Anova And Ancova
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Author : Andrew Rutherford
language : en
Publisher: SAGE
Release Date : 2001-03-08
Introducing Anova And Ancova written by Andrew Rutherford and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-03-08 with Social Science categories.
Traditional approaches to ANOVA and ANCOVA are now being replaced by a General Linear Modeling (GLM) approach. This book begins with a brief history of the separate development of ANOVA and regression analyses and demonstrates how both analysis forms are subsumed by the General Linear Model. A simple single independent factor ANOVA is analysed first in conventional terms and then again in GLM terms to illustrate the two approaches. The text then goes on to cover the main designs, both independent and related ANOVA and ANCOVA, single and multi-factor designs. The conventional statistical assumptions underlying ANOVA and ANCOVA are detailed and given expression in GLM terms. Alternatives to traditional ANCO
Analysis Of Variance Design And Regression
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Author : Ronald Christensen
language : en
Publisher: CRC Press
Release Date : 1996-06-01
Analysis Of Variance Design And Regression written by Ronald Christensen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-06-01 with Mathematics categories.
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.
The Analysis Of Variance
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Author : Henry Scheffé
language : en
Publisher: John Wiley & Sons
Release Date : 1999-03-05
The Analysis Of Variance written by Henry Scheffé 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 1999-03-05 with Mathematics categories.
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.
Online Statistics Education
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Author : David M. Lane
language : en
Publisher:
Release Date :
Online Statistics Education written by David M. Lane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Electronic books categories.
Online Statistics: An Interactive Multimedia Course of Study is an introductory-level statistics book. The material is presented both as a standard textbook and as a multimedia presentation. The book features interactive demonstrations and simulations, case studies, and an analysis lab.
Fundamentals Of Exploratory Analysis Of Variance
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Author : David C. Hoaglin
language : en
Publisher: John Wiley & Sons
Release Date : 1991-09-16
Fundamentals Of Exploratory Analysis Of Variance written by David C. Hoaglin 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 1991-09-16 with Mathematics categories.
The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions.
Analysis Of Variance For Functional Data
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Author : Jin-Ting Zhang
language : en
Publisher:
Release Date : 2024-10-14
Analysis Of Variance For Functional Data written by Jin-Ting Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Mathematics categories.
This self-contained book presents up-to-date hypothesis testing methods for functional data analysis. Useful for statistical researchers and practitioners analyzing functional data, it gives both a theoretical and applied treatment of functional data analysis supported by easy-to-use MATLAB(R) code. The book covers the reconstruction of
Multivariate Analysis Of Variance
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Author : James H. Bray
language : en
Publisher: SAGE
Release Date : 1985
Multivariate Analysis Of Variance written by James H. Bray and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Mathematics categories.
Analysis of variance (ANOVA) is one of the most frequently employed statistical techniques in the social sciences because it provides a flexible methodology for testing differences among means. This monograph considers the multivariate form of analysis of variance (MANOVA) and represents a logical extension of an earlier paper in this series, Analysis of Variance. It provides a unique perspective for readers seeking to understand how MANOVA works and how to interpret MANOVA analyses.
An Introduction To The Analysis Of Variance
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Author : Richard S. Bogartz
language : en
Publisher: Praeger
Release Date : 1994-01-17
An Introduction To The Analysis Of Variance written by Richard S. Bogartz and has been published by Praeger this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-01-17 with Mathematics categories.
This book is for students taking either a first-year graduate statistics course or an advanced undergraduate statistics course in Psychology. Enough introductory statistics is briefly reviewed to bring everyone up to speed. The book is highly user-friendly without sacrificing rigor, not only in anticipating students' questions, but also in paying attention to the introduction of new methods and notation. In addition, many topics given only casual or superficial treatment are elaborated here, such as: the nature of interaction and its interpretation, in terms of theory and response scale transformations; generalized forms of analysis of covariance; extensive coverage of multiple comparison methods; coverage of nonorthogonal designs; and discussion of functional measurement. The text is structured for reading in multiple passes of increasing depth; for the student who desires deeper understanding, there are optional sections; for the student who is or becomes proficient in matrix algebra, there are still deeper optional sections. The book is also equipped with an excellent set of class-tested exercises and answers.