Statistical Methods: The Geometric Approach
(Sprache: Englisch)
A novel exposition of the analysis of variance and regression. The key feature here is that these tools are viewed in their natural mathematical setting - the geometry of finite dimensions. This is because geometry clarifies the basic statistics and unifies...
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Klappentext zu „Statistical Methods: The Geometric Approach “
A novel exposition of the analysis of variance and regression. The key feature here is that these tools are viewed in their natural mathematical setting - the geometry of finite dimensions. This is because geometry clarifies the basic statistics and unifies the many aspects of analysing variance and regression.
Inhaltsverzeichnis zu „Statistical Methods: The Geometric Approach “
- Basic Ideas: Introduction:... The Geometric Tool Kit
... The Statistical Tool Kit
... Tool Kits At Work
- Introduction to Analysis of Variance:
... Single Population Questions
... Questions About Two Populations
... Questions About Several Populations
... Orthogonal Contrasts: Class Comparisons
... Factorial Contrasts
... Polynomial Contrasts
... Pairwise Comparisons
- Introducing Blocking:
... Randomized Block Design
... Latin Square Design
... Split Plot Design
- Fundamentals of Regression:
... Simple Regression
... Polynomial Regression
- Analysis of Covariance
- General Summary
- Appendices:
A: Unequal Replications. Two Populations
B: Unequal Replications. Several Populations
C: Alternative Factorial Notation
D: Regression Through the Origin
E: Confidence Intervals
F: Statistical Tables
References
Index
Bibliographische Angaben
- Autoren: David J. Saville , Graham R. Wood
- 1997, 1st ed. 1991. Corr. 3rd printing 1997., 561 Seiten, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, New York
- ISBN-10: 0387975179
- ISBN-13: 9780387975177
- Erscheinungsdatum: 14.03.1997
Sprache:
Englisch
Rezension zu „Statistical Methods: The Geometric Approach “
"This is an interesting attempt to present analysis of variance and related topics in an informative way."(Biometrics)
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