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Analysis of Variance in Experimental Design
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Catalogue Information
Field name
Details
Dewey Class
519
Title
Analysis of Variance in Experimental Design ([EBook] /) / by Harold R. Lindman.
Author
Lindman, Harold R.
Other name(s)
SpringerLink (Online service)
Publication
New York, NY : : Springer New York, , 1992.
Physical Details
IX, 531 p. : online resource.
Series
Springer Texts in Statistics
1431-875X
ISBN
9781461397229
Summary Note
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.:
Contents note
1: Review of Statistical Concepts -- 2: Analysis of Variance, One-Way, Fixed Effects -- 3: Comparing Groups -- 4: Other Multiple Comparison Methods -- 5: Two-Way Analysis of Variance -- 6: Random Effects -- 7: Higher-Way Designs -- 8; Nested Designs -- 9: Other Incomplete Designs -- 10: One-Way Designs with Quantitative Factors -- 11: Trend Analyses in Multifactor Designs -- 12: Basic Matrix Algebra -- 13: Multivariate Analysis of Variance -- 14: Analysis of Covariance -- 15: General Linear Model -- Appendix A: Theorems and Proofs -- Appendix B: Tables -- Appendix C: Analysis of Variance Using SAS -- Appendix D: Analyses Using SPSS -- Symbol Table.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-1-4613-9722-9
Links to Related Works
Subject References:
Applications of Mathematics
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Applied mathematics
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Engineering mathematics
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Mathematics
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Authors:
Lindman, Harold R.
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Corporate Authors:
SpringerLink (Online service)
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Series:
Springer Texts in Statistics
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Classification:
519
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