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Experimental design

Most popular at the top

  • 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...

  • Linear Modelsby Debasis Sengupta; Sreenivasa Rao Jammalamadaka

    World Scientific Publishing Company 2003; US$ 211.00

    Linear Models: An Integrated Approach aims to provide a clear and deep understanding of the general linear model using simple statistical ideas. Elegant geometric arguments are also invoked as needed and a review of vector spaces and matrices is provided to make the treatment self-contained. more...

  • Block Designsby Damaraju Raghavarao; Lakshmi V Padgett

    World Scientific Publishing Company 2005; US$ 220.00

    Combinatorial mathematicians and statisticians have made a wide range of contributions to the development of block designs, and this book brings together much of that work. The designs developed for a specific problem are used in a variety of different settings. Applications include controlled sampling, randomized response, validation and valuation... 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...

  • Linear Mixed Modelsby Brady T. West; Kathleen B. Welch; Andrzej T Galecki

    Taylor and Francis 2014; US$ 89.95

    Highly recommended by JASA, Technometrics , and other journals, the first edition of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition continues to lead readers step by step through the process... more...

  • Computational Methods for Data Evaluation and Assimilationby Dan Gabriel Cacuci; Ionel Michael Navon; Mihaela Ionescu-Bujor

    Taylor and Francis 2013; US$ 99.95

    Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdisciplinary... 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...

  • 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...