Advanced Linear Models (Statistics, a Series of Textbooks and Monographs)

Advanced Linear Models (Statistics, a Series of Textbooks and Monographs)

Editorial Reviews
Book Description

This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression model, the analysis of variance model, the analysis of covariance model, and the variance components model.

Advanced Linear Models (Statistics, a Series of Textbooks and Monographs),Shein-Chung Chow,Song-Gui Wang,CRC,082479169X,Applied,Linear Programming,Linear models (Statistics),Mathematical Statistics,Mathematics,Probability & Statistics - General,Science/Mathematics,Mathematics / Applied,Probability & statistics

Books Info:

1. Advanced Models for Manufacturing Systems Management
2. Advances in Stochastic Models for Reliability, Quality and Safety (Statistics for Industry and Technology)
3. Algorithms for Linear-quadratic Optimization (Pure and Applied Mathematics (Marcel Dekker))
4. An Introduction to Multicomplex Spaces and Functions (Pure and Applied Mathematics (Marcel Dekker))
5. A Practical Guide to Heavytails : Statistical Techniques for Analyzing Heavy-Tailed Distributi ons
6. A Sampler of Riemann-Finsler Geometry (Mathematical Sciences Research Institute Publications)
7. Asymptotic Analysis and the Numerical Solution of Partial Differential Equations (Lecture Notes in Pure and Applied Mathematics)
8. Automorphisms of Surfaces after Nielsen and Thurston (London Mathematical Society Student Texts)
9. Bilateral Bargaining : Theory and Applications (Lecture Notes in Economics and Mathematical Systems)
10. Boundary Elements: Theory and Applications

Books Info

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