Linear statistical models
Author(s)
Bibliographic Information
Linear statistical models
（Wiley series in probability and mathematical statistics）
Wiley, c1995
Available at / 38 libraries
-
No Libraries matched.
- Remove all filters.
Note
"A Wiley-Interscience publication" -- T.p
Includes bibliographical references (p. 401-407) and indexes
Description and Table of Contents
Description
Linear statistical models are mathematical models which are linear in the unknown parameters and which include a random error term. This error term is what makes the models "statistical". These models lead to the methodology usually called "multiple regression" or "analysis of variance" and have wide applicability in the physical, biological, social, engineering, and business sciences.
Table of Contents
- Linear Algebra, Projections
- Random Vectors
- The Linear Model
- Fitting of Regression Models
- Simultaneous Confidence Intervals
- Two-Way and Three-Way Analyses of Variance
- Miscellaneous Other Models
- Analysis of Frequency Data
- References
- Appendix
- Answers
- Indexes.
by "Nielsen BookData"