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Experimental design

Most popular at the top

  • Extending the Linear Model with Rby Julian J. Faraway

    Taylor and Francis 2005; US$ 98.95

    Linear 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...

  • Multi-armed Bandit Allocation Indicesby John Gittins; Kevin Glazebrook; Richard Weber

    Wiley 2011; US$ 119.00

    In 1989 the first edition of this book set out Gittins' pioneering index solution to the multi-armed bandit problem and his subsequent investigation of a wide of sequential resource allocation and stochastic scheduling problems. Since then there has been a remarkable flowering of new insights, generalizations and applications, to which Glazebrook and... more...

  • Linear Modelsby Shayle R. Searle

    Wiley 2012; US$ 137.00

    This 1971 classic on linear models is once again available--as a Wiley Classics Library Edition. It features material that can be understood by any statistician who understands matrix algebra and basic statistical methods. more...

  • Optimal Mixture Experimentsby Bikas Kumar Sinha; N.K. Mandal; Manisha Pal; Premadhis Das

    Springer 2014; US$ 109.00

    ?The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general discussion on regression designs has been presented, which includes topics like continuous designs, de la Garza phenomenon, Loewner order domination, Equivalence theorems for different optimality criteria and standard... more...

  • Theory of Factorial Designby Ching-Shui Cheng

    Taylor and Francis 2013; US$ 99.95

    Bringing together both new and old results, Theory of Factorial Design: Single- and Multi-Stratum Experiments provides a rigorous, systematic, and up-to-date treatment of the theoretical aspects of factorial design. To prepare readers for a general theory, the author first presents a unified treatment of several simple designs, including completely... more...

  • Applied Bayesian Modellingby Peter Congdon

    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...

  • Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectivesby Andrew Gelman; Xiao-Li Meng

    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...

  • Bayesian Models for Categorical Databy Peter Congdon

    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...

  • Algorithmic Learning in a Random Worldby Vladimir Vovk; Alexander Gammerman; Glenn Shafer

    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...

  • Analysis of Pretest-Posttest Designsby Peter L. Bonate

    Taylor and Francis 2000; 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...