LINEAR MODELS AND REGRESSION WITH R: Series On Multivariate Analysis
Autor Debasis Sengupta & Sreenivasa Rao Jammalen Limba Engleză Hardback – 23 iul 2019
The book has a very broad coverage, from illustrative practical examples in Regression and Analysis of Variance alongside their implementation using R, to providing comprehensive theory of the general linear model with 181 worked-out examples, 227 exercises with solutions, 152 exercises without solutions (so that they may be used as assignments in a course), and 320 up-to-date references.
This completely updated and new edition of Linear Models: An Integrated Approach includes the following features:
- Applications with data sets, and their implementation in R,
- Comprehensive coverage of regression diagnostics and model building,
- Coverage of other special topics such as collinearity, stochastic and inequality constraints, misspecified models, etc.,
- Use of simple statistical ideas and interpretations to explain advanced concepts, and simpler proofs of many known results,
- Discussion of models covering mixed-effects/variance components, spatial, and time series data with partially unknown dispersion matrix,
- Thorough treatment of the singular linear model, including the case of multivariate response,
- Insight into updates in the linear model, and their connection with diagnostics, design, variable selection, Kalman filter, etc.,
- Extensive discussion of the foundations of linear inference, along with linear alternatives to least squares.
Preț: 783.12 lei
Preț vechi: 955.03 lei
-18% Nou
Puncte Express: 1175
Preț estimativ în valută:
149.92€ • 155.84$ • 124.30£
149.92€ • 155.84$ • 124.30£
Carte tipărită la comandă
Livrare economică 05-19 februarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9789811200403
ISBN-10: 9811200408
Pagini: 774
Dimensiuni: 157 x 235 x 46 mm
Greutate: 1.25 kg
Editura: World Scientific
Seria Series On Multivariate Analysis
ISBN-10: 9811200408
Pagini: 774
Dimensiuni: 157 x 235 x 46 mm
Greutate: 1.25 kg
Editura: World Scientific
Seria Series On Multivariate Analysis