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Experimental design

Most popular at the top

  • Frontiers of Statistical Decision Making and Bayesian Analysisby Ming-Hui Chen; Peter Muller; Dongchu Sun; Keying Ye; Dipak K. Dey

    Springer 2010; US$ 99.00

    Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While this book can not exhaustively cover all current... more...

  • mODa 9 Advances in Model-Oriented Design and Analysisby Alessandra Giovagnoli; Anthony Atkinson; Bernard Torsney; Caterina May

    Springer 2010; US$ 189.00

    The volume contains the proceedings of the 9th Workshop on Model-Oriented Design and Analysis. It offers leading and pioneering work on optimal experimental designs, both from a theoretical point of view and in respect of real applications. Scientists from Eastern and Western Europe, the US, Asia and Africa, are contributors to this volume. Designs... more...

  • Designing Quantitative Experimentsby John Wolberg

    Springer 2010; US$ 79.99

    The method of Prediction Analysis is applicable for anyone interested in designing a quantitative experiment. The design phase of an experiment can be broken down into problem dependent design questions (like the type of equipment to use and the experimental setup) and generic questions (like the number of data points required, range of values for... more...

  • Linearization Models for Complex Dynamical Systemsby Mark R. Elin; David Shoikhet

    Springer 2010; US$ 139.00

    Linearization models for discrete and continuous time dynamical systems are the driving forces for modern geometric function theory and composition operator theory on function spaces. This book focuses on a systematic survey and detailed treatment of linearization models for one-parameter semigroups, Schroder's and Abel's functional equations,... more...

  • R Cookbookby Paul Teetor

    O'Reilly Media 2011; US$ 31.99

    With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic... more...

  • Pratique du calcul bayésienby Jean-Jacques Boreux; Eric Parent; Jacques Bernier

    Springer 2010; US$ 39.95

    La premiere partie de cet ouvrage privilegie les modeles statistiques parametriques calculables a la main. Des le premier chapitre, la representation du modele par un graphe acyclique oriente permet de distinguer clairement la phase ou la creativite du chercheur s'exprime de celle ou il calcule. A cette fin, le logiciel libre WinBUGS sera tres... more...

  • Understanding Computational Bayesian Statisticsby William M. Bolstad

    Wiley 2011; US$ 137.00

    A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic,... more...

  • Hybrid Random Fieldsby Antonino Freno; Edmondo Trentin

    Springer 2011; US$ 179.00

    This book presents an exciting new synthesis of directed and undirected, discrete and continuous graphical models. Combining elements of Bayesian networks and Markov random fields, the newly introduced hybrid random fields are an interesting approach to get the best of both these worlds, with an added promise of modularity and scalability. The authors... more...

  • Doing Bayesian Data Analysisby John Kruschke

    Elsevier Science 2010; US$ 89.95

    There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible... more...

  • Experiments with Mixturesby John A. Cornell

    Wiley 2011; US$ 188.00

    The most comprehensive, single-volume guide to conducting experiments with mixtures "If one is involved, or heavily interested, in experiments on mixtures of ingredients, one must obtain this book. It is, as was the first edition, the definitive work." -Short Book Reviews (Publication of the International Statistical Institute) "The text contains... more...