Ebook: Analysis of Variance in Experimental Design
Author: Harold R. Lindman (auth.)
- Tags: Statistics general
- Series: Springer Texts in Statistics
- Year: 1992
- Publisher: Springer-Verlag New York
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-ix
Review of Statistical Concepts....Pages 1-11
Analysis of Variance, One-Way, Fixed Effects....Pages 13-45
Comparing Groups....Pages 47-69
Other Multiple Comparison Methods....Pages 71-91
Two-Way Analysis of Variance....Pages 93-125
Random Effects....Pages 127-158
Higher-Way Designs....Pages 159-188
Nested Designs....Pages 189-221
Other Incomplete Designs....Pages 223-243
One-Way Designs with Quantitative Factors....Pages 245-264
Trend Analyses in Multifactor Designs....Pages 265-306
Basic Matrix Algebra....Pages 307-320
Multivariate Analysis of Variance....Pages 321-338
Analysis of Covariance....Pages 339-357
General Linear Model....Pages 359-386
Back Matter....Pages 387-533
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.
Content:
Front Matter....Pages i-ix
Review of Statistical Concepts....Pages 1-11
Analysis of Variance, One-Way, Fixed Effects....Pages 13-45
Comparing Groups....Pages 47-69
Other Multiple Comparison Methods....Pages 71-91
Two-Way Analysis of Variance....Pages 93-125
Random Effects....Pages 127-158
Higher-Way Designs....Pages 159-188
Nested Designs....Pages 189-221
Other Incomplete Designs....Pages 223-243
One-Way Designs with Quantitative Factors....Pages 245-264
Trend Analyses in Multifactor Designs....Pages 265-306
Basic Matrix Algebra....Pages 307-320
Multivariate Analysis of Variance....Pages 321-338
Analysis of Covariance....Pages 339-357
General Linear Model....Pages 359-386
Back Matter....Pages 387-533
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