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Experimental design

Most popular at the top

  • Theory of Factorial Designby Ching-Shui Cheng

    Taylor and Francis 2014; 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...

  • Matrix Algebra for Linear Modelsby Marvin H. J. Gruber

    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...

  • Experimental Design Techniques in Statistical Practiceby W P Gardiner; G Gettinby

    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...

  • 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...

  • Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSSby Robert Ho

    Taylor and Francis 2006; US$ 104.95

    Many statistics texts tend to focus more on the theory and mathematics underlying statistical tests than on their applications and interpretation. This can leave readers with little understanding of how to apply statistical tests or how to interpret their findings. While the SPSS statistical software has done much to alleviate the frustrations of social... more...

  • Analysis of Pretest-Posttest Designsby Peter L. Bonate

    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...

  • Analysis of Variance and Functional Measurementby David J. Weiss

    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...