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Experimental design

Most popular at the top

  • 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...

  • Sequential Stochastic Optimizationby R. Cairoli; Robert C. Dalang

    Wiley 2011; US$ 213.00

    Sequential Stochastic Optimization provides mathematicians and applied researchers with a well-developed framework in which stochastic optimization problems can be formulated and solved. Offering much material that is either new or has never before appeared in book form, it lucidly presents a unified theory of optimal stopping and optimal sequential... more...

  • Sequential Estimationby Malay Ghosh; Nitis Mukhopadhyay; Pranab Kumar Sen

    Wiley 2011; US$ 209.00

    The only comprehensive guide to the theory and practice of one of today's most important probabilistic techniques The past 15 years have witnessed many significant advances in sequential estimation, especially in the areas of three-stage and nonparametric methodology. Yet, until now, there were no references devoted exclusively to this rapidly growing... more...

  • Generalized, Linear, and Mixed Modelsby Charles E. McCulloch; Shayle R. Searle; John M. Neuhaus

    Wiley 2011; US$ 180.00

    An accessible and self-contained introduction to statistical models-now in a modernized new edition Generalized, Linear, and Mixed Models, Second Edition provides an up-to-date treatment of the essential techniques for developing and applying a wide variety of statistical models. The book presents thorough and unified coverage of the theory behind... more...

  • Experimentsby C. F. Jeff Wu; Michael S. Hamada

    Wiley 2011; US$ 165.00

    Praise for the First Edition : "If you . . . want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library." — Journal of the American Statistical Association Fully updated to reflect the major progress in the use of statistically designed experiments... more...

  • Exponential Data Fitting and its Applicationsby Victor Pereyra; Godela Scherer

    Bentham Science Publishers 2010; US$ 59.00

    Real and complex exponential data fitting is an important activity in many different areas of science and engineering, ranging from Nuclear Magnetic Resonance Spectroscopy and Lattice Quantum Chromodynamics to Electrical and Chemical Engineering, Vision and Robotics. The most commonly used norm in the approximation by linear combinations of exponentials... more...

  • Graphical Models with Rby Søren Højsgaard; David Edwards; Steffen Lauritzen

    Springer 2012; US$ 59.95

    Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many of these software developments have taken place within... more...

  • The Theory of Linear Predictionby P. P. Vaidyanathan

    Morgan & Claypool Publishers 2007; US$ 40.00

    Linear prediction theory has had a profound impact in the field of digital signal processing. Although the theory dates back to the early 1940s, its influence can still be seen in applications today. The theory is based on very elegant mathematics and leads to many beautiful insights into statistical signal processing. Although prediction is only a... more...