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Experimental design

  • Design of Observational Studiesby

    Springer 2010; US$ 149.00

    This book is both an introduction to statistical inference in observational studies and a discussion of the principles guiding the design of observational studies. more...

  • Advances in Decision Making Under Risk and Uncertaintyby Mohammed Abdellaoui; John D. Hey

    Springer 2008; US$ 179.00

    Brings the reader into contact with the accomplished progress in individual decision making through the contributions to uncertainty modeling and behavioral decision making. This work also introduces the reader to the subtle issues to be resolved for rational choice under uncertainty. more...

  • Bayesian Computation with Rby Jim Albert

    Springer 2009; US$ 59.95

    There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for statistical analyses. R's open source nature, free... more...

  • Decision Theory with Imperfect Informationby Rafik A. Aliev; Oleg H. Huseynov

    World Scientific Publishing Company 2014; US$ 163.00

    Every day decision making in complex human-centric systems are characterized by imperfect decision-relevant information. The principal problems with the existing decision theories are that they do not have capability to deal with situations in which probabilities and events are imprecise. In this book, we describe a new theory of decision making with... more...

  • Case Studies in Bayesian Statistical Modelling and Analysisby Clair L. Alston; Kerrie L. Mengersen; Anthony N. Pettitt

    Wiley 2012; US$ 105.00

    Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the... more...

  • Design of Experiments for Engineers and Scientistsby Jiju Antony

    Elsevier Science 2014; US$ 69.95

    The tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the last two decades. However research has shown that application of this powerful technique in many companies is limited due to a lack of statistical knowledge required... more...

  • Design of Experiments for Engineers and Scientistsby Jiju Antony

    Elsevier Science 2003; US$ 62.95

    The tools and technique used in the Design of Experiments (DOE) have been proved successful in meeting the challenge of continuous improvement over the last 15 years. However, research has shown that applications of these techniques in small and medium-sized manufacturing companies are limited due to a lack of statistical knowledge required for their... more...

  • Optimum Experimental Designs, with SASby Anthony Atkinson; Alexander Donev; Randall Tobias

    Oxford University Press, UK 2007; US$ 84.99

    This text focuses on optimum experimental design using SAS, a powerful software package that provides a complete set of statistical tools including analysis of variance, regression, categorical data analysis, and multivariate analysis. SAS codes, results, plots, numerous figures and tables are provided, along with a fully supported website. - ;Experiments... more...

  • Info-Gap Decision Theoryby Yakov Ben-Haim

    Elsevier Science 2006; US$ 180.00

    Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. This book is written for decision analysts.... more...

  • Applied Optimal Designsby Martijn P.F. Berger; Weng-Kee Wong

    Wiley 2005; US$ 153.00

    There is an increasing need to rein in the cost of scientific study without sacrificing accuracy in statistical inference. Optimal design is the judicious allocation of resources to achieve the objectives of studies using minimal cost via careful statistical planning. Researchers and practitioners in various fields of applied science are now beginning... more...