First Course in Linear Model Theory

First Course in Linear Model Theory

Ravishanker, Nalini; Dey, Dipak K.; Chi, Zhiyi

Taylor & Francis Inc

10/2021

530

Dura

Inglês

9781439858059

15 a 20 dias

1400

Descrição não disponível.
1. A Review of Vector and Matrix Algebra. 2. Properties of Special Matrices. 3. Generalized Inverses and Solutions to Linear Systems. 4. The General Linear Model. 5. Multivariate Normal and Related Distributions. 6. Sampling from the Multivariate Normal Distribution. 7. Inference for the General Linear Model-I. 8. Inference for the General Linear Model-II. 9. Multiple Linear Regression Models. 10. Fixed-Effects Linear Models. 11. Random-Effects and Mixed-Effects Models. 12. Generalized Linear Models. 13. Special Topics. 14. Miscellaneous Topics. Appendices.
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IRLS Algorithm;Linear Models;Canonical Link;Linear Regression;Canonical Link Function;Statistical Methods;LRT Statistic;Fisher Scoring Algorithm;High Dimensional Linear Models;Observed Fisher Information;Wishart Distribution;Log Likelihood Function;Complementary Log Log Link;Binary Response Model;Newton Raphson Algorithm;Quasi-score Function;Sample Covariance Matrix;Link Function;Dispersion Parameter;Overdispersed Poisson Model;Poisson Model;Nonsingular Transformations;Fisher Information;Quasi-likelihood Function;Multiple Correlation Coefficient;Canonical Parameter;LRT;Generalized Sample Variance