Advances in Mathematical and Statistical Modeling
Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal ...
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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 ...
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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 ...
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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 ...
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Data Analysis, Classification and the Forward Search
This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...
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Data Analysis, Classification and the Forward Search
This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...
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Functional Data Analysis
This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such ...
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Handbook of Multilevel Analysis
Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example ...
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Linear Models and Generalizations: Least Squares and Alternatives
Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account ...
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Linear and Generalized Linear Mixed Models and Their Applications
This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
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Linear and Generalized Linear Mixed Models and Their Applications
This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and ...
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Model-based Geostatistics
Geostatistics is concerned with estimation and prediction problems for spatially continuous phenomena, using data obtained ...
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Models for Discrete Longitudinal Data
This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject ...
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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 ...
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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 ...
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Regression Methods in Biostatistics
This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used ...
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S+Functional Data Analysis
S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional ...
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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 ...
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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 ...
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