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Experimental design

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

    CRC Press 2016; US$ 121.95

    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...

  • Theory of Factorial Designby Ching-Shui Cheng

    CRC Press 2016; US$ 109.95

    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...

  • Generalized Linear Mixed Modelsby Walter W. Stroup

    CRC Press 2016; US$ 98.95

    Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics... more...

  • Extending the Linear Model with Rby Julian J. Faraway

    CRC Press 2016; US$ 99.95

    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...

  • DOE Simplifiedby Mark J. Anderson; Patrick J. Whitcomb

    CRC Press 2015; US$ 59.95

    Offering a planned approach for determining cause and effect, DOE Simplified: Practical Tools for Effective Experimentation, Third Edition integrates the authors? decades of combined experience in providing training, consulting, and computational tools to industrial experimenters. Supplying readers with the statistical means to analyze how numerous... more...

  • SAS Essentialsby Alan C. Elliott; Wayne A. Woodward

    Wiley 2015; US$ 64.95 US$ 56.29

    A step-by-step introduction to using SAS® statistical software as a foundational approach to data analysis and interpretation Presenting a straightforward introduction from the ground up, SAS® Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS using hands-on learning techniques and numerous real-world examples.... more...

  • Risk, Ambiguity and Decisionby Daniel Ellsberg

    Taylor and Francis 2015; US$ 47.95

    Ellsberg elaborates on "Risk, Ambiguity, and the Savage Axioms" and mounts a powerful challenge to the dominant theory of rational decision in this book. more...

  • Decision-Making and the Information Systemby Maryse Salles

    Wiley 2015; US$ 95.00 US$ 82.33

    The purpose of this book is to question the relationships involved in decision making and the systems designed to support it: decision support systems (DSS). The focus is on how these systems are engineered; to stop and think about the questions to be asked throughout the engineering process and, in particular, about the impact designers’ choices... more...

  • Handbook of Design and Analysis of Experimentsby Angela Dean; Max Morris; John Stufken; Derek Bingham

    CRC Press 2015; US$ 119.95

    Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics, covering the latest developments. This carefully edited collection of 25 chapters in seven sections synthesizes the state... more...

  • Bayesian Nonparametric Data Analysisby Peter Müller; Fernando Andrés Quintana; Alejandro Jara; Tim Hanson

    Springer International Publishing 2015; US$ 109.00

    This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book?s structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric... more...