Electronic Books

Total Books: 1 - 19 /19

Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal ...

This volume, an outgrowth of an "International Conference on Statistical Methods in Health Sciences," covers a wide range ...

This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...

Presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components ...

This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...

This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...

This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such ...

Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example ...

Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...

This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and ...

Geostatistics is concerned with estimation and prediction problems for spatially continuous phenomena, using data obtained ...

This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject ...

Random effects and latent variable models are broadly used in analyses of multivariate data. These models can accommodate ...

The theory of linear models and regression analysis plays an essential role in the development of methods for the statistical ...

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used ...

S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional ...

This book presents statistical methods and models of importance to quantitative finance and links finance theory to market ...

The volume contains the proceedings of the 8th Workshop on Model-Oriented Design and Analysis. This book offers leading and ...

Total Books: 1 - 19 /19