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- Springer International Publishing 2015; US$ 169.00
Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statistics is applicable to data analysis in biostatistics, clinical trials, law, engineering, and the... more...
- Springer New York 2007; US$ 139.00
Now available in paperback, this book is organized in a way that emphasizes both the theory and applications of the various variance estimating techniques. Results are often presented in the form of theorems; proofs are deleted when trivial or when a reference is readily available. It applies to large, complex surveys; and to provide an easy reference... more...
- Elsevier Science 2014; US$ 72.95
Iterative Methods for Large Linear Systems contains a wide spectrum of research topics related to iterative methods, such as searching for optimum parameters, using hierarchical basis preconditioners, utilizing software as a research tool, and developing algorithms for vector and parallel computers. This book provides an overview of the use of iterative... more...
- Springer New York 2008; US$ 99.00
This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model diagnostics and missing... more...
- Wiley 2013; US$ 134.00
Praise for the First Edition “This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one’s personal library.” — Journal of the American Statistical Association Mixed modeling is a crucial area of statistics, enabling the... more...
- CRC Press 2002; US$ 99.95
Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to an exact version of logistic regression form valuable additions to the... more...
- Elsevier Science 2014; US$ 72.95
This volume is devoted to models and methods in multiple objectives decision making. The importance of the multiple dimensions of decision making was first recognised during the 1960s and since then progress has been made in that theoretical or application oriented contributions may now be categorized under two main headings:- Multiattribute Decision... more...
- Springer India 2014; US$ 109.00
Opening with the basics of regression designs, this book reviews linear and quadratic Scheffé mixture models, applies the Darroch-Waller three-component quadratic mixture model to the general q-component model, discusses non-standard mixture designs and more. more...
- Oxford University Press, UK 2007; US$ 179.99
This text focuses on optimum experimental design using SAS, a powerful software package that provides a complete set of statistical tools including analysis of variance, regression, categorical data analysis, and multivariate analysis. SAS codes, results, plots, numerous figures and tables are provided, along with a fully supported website. - ;Experiments... more...
- Springer New York 2012; US$ 69.95
This book opens with basic material on combinatorial block designs and combinatorial orderings, goes on to show how ordering concepts can be applied to block designs, and connects these concepts to applications in computer science, engineering and statistics. more...