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#### Decision Space

Cambridge University Press 2001; US$ 56.00This book, first published in 2001, combines traditional and novel methods of option evaluation into one systematic and versatile method. more...

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

Wiley 2004; US$ 145.00This 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...

#### Bayesian Models for Categorical Data

Wiley 2005; US$ 137.00The 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...

#### Analysis of Pretest-Posttest Designs

CRC Press 2000; US$ 159.95How do you analyze pretest-posttest data? Difference scores? Percent change scores? ANOVA? In medical, psychological, sociological, and educational studies, researchers often design experiments in which they collect baseline (pretest) data prior to randomization. However, they often find it difficult to decide which method of statistical analysis is... more...

#### Analysis of Variance and Functional Measurement

Oxford University Press 2006; US$ 82.99Beginning with the basics, then proceeding to more advanced concepts, and including exercises and discussions of how to present the results, this volume explains ANOVA, a set of statistical techniques for analysing the results of controlled or quasi-controlled experiments. It is useful for students and professionals. more...

#### The Theory of the Design of Experiments

CRC Press 2000; US$ 139.95Why study the theory of experiment design? Although it can be useful to know about special designs for specific purposes, experience suggests that a particular design can rarely be used directly. It needs adaptation to accommodate the circumstances of the experiment. Successful designs depend upon adapting general theoretical principles to the special... more...

#### Generalized Linear Models with Random Effects

CRC Press 2006; US$ 125.95Since their introduction in 1972, generalized linear models (GLMs) have proven useful in the generalization of classical normal models. Presenting methods for fitting GLMs with random effects to data, Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood explores a wide range of applications, including combining information... more...

#### Design and Analysis of Experiments, Introduction to Experimental Design

Wiley 2007; US$ 182.00This user-friendly new edition reflects a modern and accessible approach to experimental design and analysis Design and Analysis of Experiments, Volume 1, Second Edition provides a general introduction to the philosophy, theory, and practice of designing scientific comparative experiments and also details the intricacies that are often encountered... more...

#### Approximation Methods for Efficient Learning of Bayesian Networks

IOS Press 2008; US$ 119.00This publication offers and investigates efficient Monte Carlo simulation methods in order to realize a Bayesian approach to approximate learning of Bayesian networks from both complete and incomplete data. For large amounts of incomplete data when Monte Carlo methods are inefficient, approximations are implemented, such that learning remains feasible,... more...