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Condensed and reorganized, this comprehensive second edition covers most of the statistical methods used in the field and now features the use of both R and S-Plus software. …
Statistical Modeling and Data Analysis: An Introduction
This second edition incorporates important advancements made in bioinformatics over the last decade. Focusing on practical problem solving, it works through sequence analysis from …
Accessible to any scientist or student with a reasonable background in statistics, this updated book presents a unique blend of stochastic process theory, statistical inference, …
This book illustrates how the choice of relevant data collection and data analysis techniques is critical for a sound and objective description of the complexity of space-time …
Offering a detailed and careful explanation of the methods, this book delineates Bayesian non parametric techniques to be used in health care and the statistical evaluation of …
Helping readers become successful quants, this book provides them with an understanding of the principles of computational system design. Modern computational and quantitative …
Research on mixed models has been extensive over the most recent decade. This book differs from the authors' previous monographs on longitudinal data in that it focuses on mixed …
This book introduces factor analysis methods for the study of multivariate stochastic processes whose structure evolves over time. It introduces the theory of factor analysis and …
A stochastic flow is a mathematical model used to simulate a system of interacting particles in random media. There have been many developments in methodology and applications in …