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Introducing Anova and Ancova: A Glm Approach (Introducing Statistical Methods)

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Synopses & Reviews

Publisher Comments:

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.</p> <p></p> <p>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. </p> <p></p> <p>Alternatives to traditional ANCOVA are also presented when circumstances in which certain assumptions have not been met. The book also covers other important issues in the use of these approaches such as power analysis, optimal experimental designs, normality violations and robust methods, error rate and multiple comparison procedures and the role of omnibus F-tests.

Synopsis:

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

Synopsis:

Introducing ANOVA and ANCOVA provides a guide to the use of the General Linear Modeling (GLM) approach to the analysis of variance and covariance.

Product Details

ISBN:
9780761951612
Author:
Rutherford, Andrew
Publisher:
Sage Publications (CA)
Location:
London ; Thousand Oaks, Calif.
Subject:
General
Subject:
Statistics
Subject:
Research
Subject:
Analysis of variance
Subject:
Analysis of covariance.
Subject:
Mathematical & Statistical Software
Subject:
Mathematics -- Software.
Series:
Introducing Statistical Methods
Series Volume:
IMS-14
Publication Date:
20010331
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
192
Dimensions:
8.96x6.22x.43 in. .68 lbs.

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Related Subjects

Health and Self-Help » Health and Medicine » General
Health and Self-Help » Health and Medicine » General Medicine
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History and Social Science » Sociology » Reference and Methodology
Reference » Science Reference » General
Science and Mathematics » Mathematics » Software

Introducing Anova and Ancova: A Glm Approach (Introducing Statistical Methods) New Trade Paper
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$82.75 In Stock
Product details 192 pages Sage Publications - English 9780761951612 Reviews:
"Synopsis" by , 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

"Synopsis" by , Introducing ANOVA and ANCOVA provides a guide to the use of the General Linear Modeling (GLM) approach to the analysis of variance and covariance.
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