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- Wiley 2013; US$ 110.00
A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. The book provides a unified presentation of the mathematical properties and... more...
- Elsevier Science 1998; US$ 95.00
Provides an introduction to the diverse subject area of experimental design, with many practical and applicable exercises to help the reader understand, present and analyse the data. The pragmatic approach offers technical training for use of designs and teaches statistical and non-statistical skills in design and analysis of project studies throughout... more...
- Wiley 2003; US$ 141.00
The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author’s best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and... more...
- Chapman & Hall/CRC 2003; US$ 89.95
With Bayesian network technology very much on the up-swing in industry and government, there is an increasing need for an introductory book that jointly emphasizes the understanding of its underlying priniciples and their application in practice. more...
- Wiley 2004; US$ 135.00
This 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...
- Springer 2005; US$ 149.00
This scientific monograph develops significant new algorithmic foundations in machine learning theory. Researchers and postgraduates in CS, statistics, and A.I. should find the book an authoritative and formal presentation of some of the most promising theoretical developments in machine learning. more...
- Wiley 2005; US$ 129.00
The 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...
- Taylor and Francis 2010; US$ 154.95
How 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...
- Oxford University Press 2006; US$ 74.99
Beginning 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...
- Taylor and Francis 2006; US$ 104.95
Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Software provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of clustered and longitudinal data. This easy-to-navigate... more...