Linear Models: An Integrated Approach
An Integrated Approach
S Rao Jammalamadaka, Debasis Sengupta
- 644 pages
- English
- PDF
- Disponible sur iOS et Android
Linear Models: An Integrated Approach
An Integrated Approach
S Rao Jammalamadaka, Debasis Sengupta
Ă propos de ce livre
Linear Models: An Integrated Approach aims to provide a clear and deep understanding of the general linear model using simple statistical ideas. Elegant geometric arguments are also invoked as needed and a review of vector spaces and matrices is provided to make the treatment self-contained. Complex, matrix-algebraic methods, such as those used in the rank-deficient case, are replaced by statistical proofs that are more transparent and that show the parallels with the simple linear model.This book has the following special features:âą Use of simple statistical ideas such as linear zero functions and covariance adjustment to explain the fundamental as well as advanced conceptsâą Emphasis on the statistical interpretation of complex algebraic resultsâą A thorough treatment of the singular linear model, including the case of multivariate responseâą A unified discussion on models with a partially unknown dispersion matrix, including mixed-effects/variance-components models and models for spatial and time series dataâą Insight into updates on the linear model and their connection with diagnostics, design, variable selection, the Kalman filter, etc.âą An extensive discussion on the foundations of linear inference, along with linear alternatives to least squaresâą Coverage of other special topics, such as collinearity, stochastic and inequality constraints, misspecified models, etc.âą Simpler proofs of numerous known resultsâą Pointers to current research through examples and exercises