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Experimental design

  • Design of Observational Studiesby

    Springer 2010; US$ 89.95

    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$ 109.99

    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$ 47.99

    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...

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

    Wiley 2012; US$ 107.50

    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...

  • 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$ 175.00

    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$ 148.00

    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...

  • Bayesian Theoryby José M. Bernardo; Adrian F. M. Smith

    Wiley 2009; US$ 465.00

    This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion... more...

  • Rational Decisionsby Ken Binmore

    Princeton University Press 2008; US$ 27.95

    It is widely held that Bayesian decision theory is the final word on how a rational person should make decisions. However, Leonard Savage--the inventor of Bayesian decision theory--argued that it would be ridiculous to use his theory outside the kind of small world in which it is always possible to "look before you leap." If taken seriously, this... more...

  • Analysis of Variance via Confidence Intervalsby K D Bird

    SAGE Publications 2004; US$ 27.95

    Analysis of variance (ANOVA) constitutes the main set of statistical methods used by students and researchers to analyse data from experiments. This expertly written textbook adopts a pioneering approach to ANOVA with an emphasis on confidence intervals rather than tests of significance. Key features of the book include: · Extensive... more...