Advances in Mathematical and Statistical Modeling
Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal ...
Lee mas
Advances in Statistical Methods for the Health Sciences
This volume, an outgrowth of an "International Conference on Statistical Methods in Health Sciences," covers a wide range ...
Lee mas
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
Lee mas
Correlated Data Analysis: Modeling, Analytics, and Applications
Presents some recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components ...
Lee mas
Data Analysis, Classification and the Forward Search
This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...
Lee mas
Data Analysis, Classification and the Forward Search
This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...
Lee mas
Functional Data Analysis
This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such ...
Lee mas
Handbook of Multilevel Analysis
Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example ...
Lee mas
Linear Models and Generalizations: Least Squares and Alternatives
Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...
Lee mas
Model-based Geostatistics
Geostatistics is concerned with estimation and prediction problems for spatially continuous phenomena, using data obtained ...
Lee mas
Models for Discrete Longitudinal Data
This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject ...
Lee mas
Random Effect and Latent Variable Model Selection
Random effects and latent variable models are broadly used in analyses of multivariate data. These models can accommodate ...
Lee mas
Recent Advances in Linear Models and Related Areas : Essays in Honour of Helge Toutenburg
The theory of linear models and regression analysis plays an essential role in the development of methods for the statistical ...
Lee mas
Regression Methods in Biostatistics
This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used ...
Lee mas
S+Functional Data Analysis
S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional ...
Lee mas
Statistical Models and Methods for Financial Markets
This book presents statistical methods and models of importance to quantitative finance and links finance theory to market ...
Lee mas
mODa 8 - Advances in Model-Oriented Design and Analysis ; Proceedings of the 8th International Workshop in Model-Oriented Design and Analysis held in Almagro, Spain, June 4–8, 2007
The volume contains the proceedings of the 8th Workshop on Model-Oriented Design and Analysis. This book offers leading and ...
Lee mas
