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#### Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing

Wiley 2015; US$ 150.00 US$ 135.00The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information... more...

#### Fixed Effects Analysis of Variance

Elsevier Science 2014; US$ 31.95Fixed Effects Analysis of Variance covers the mathematical theory of the fixed effects analysis of variance. The book discusses the theoretical ideas and some applications of the analysis of variance. The text then describes topics such as the t-test; two-sample t-test; the k-sample comparison of means (one-way analysis of variance); the balanced two-way... more...

#### Risk, Ambiguity and Decision

Taylor and Francis 2015; US$ 47.95Ellsberg elaborates on "Risk, Ambiguity, and the Savage Axioms" and mounts a powerful challenge to the dominant theory of rational decision in this book. more...

#### SAS Essentials

Wiley 2015; US$ 64.95 US$ 58.45A step-by-step introduction to using SAS® statistical software as a foundational approach to data analysis and interpretation Presenting a straightforward introduction from the ground up, SAS® Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS using hands-on learning techniques and numerous real-world examples.... more...

#### Extending the Linear Model with R

CRC Press 2016; US$ 99.95Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in which situations each one applies. Following in those... more...

#### Linear Mixed Models for Longitudinal Data

Springer New York 2008; US$ 85.60This 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...

#### Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

Wiley 2004; US$ 145.00 US$ 130.50This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated... more...

#### Decision Space

Cambridge University Press 2001; US$ 58.00This book, first published in 2001, combines traditional and novel methods of option evaluation into one systematic and versatile method. more...

#### Bayesian Models for Categorical Data

Wiley 2005; US$ 137.00 US$ 123.30The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing... more...

#### Analysis of Messy Data, Volume III

CRC Press 2001; US$ 139.95Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design. Analysis of Messy Data, Volume 3: Analysis of Covariance takes the unique approach of treating the analysis of covariance problem by looking... more...