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- 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...
- Springer New York 2011; US$ 39.95
?In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes a test between these groups.... more...
- Springer New York 2012; US$ 69.99
This book offers an introduction to graphical modeling using R and the main features of some of these packages. It provides examples of how more advanced aspects of graphical modeling can be represented and handled within R. more...
- Wiley 2012; US$ 63.95
Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee’s book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques. This new fourth edition looks at recent techniques... more...
- Birkhäuser Boston 2007; US$ 109.00
Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experimental design in a variety of fields requiring measurements of variance, including agriculture, biology, animal... more...
- Atlantis Press 2010; US$ 119.00
In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems. One of the most challenging issues for the intelligent system is to effectively handle real-world uncertainties that cannot be eliminated. These uncertainties include various types of information that are incomplete,... more...
- Springer Berlin Heidelberg 2010; US$ 99.00
Il est souvent nécessaire de réaliser des expériences afin de modéliser le comportement d?un phénomène complexe. La méthode des plans d?expérience a pour objectif d?obtenir un maximum d?information sur le phénomène étudié en un minimum d?expériences. Ceci est primordial si l?objectif est un gain de temps ou de qualité. Cet ouvrage détaille les fondements... more...
- Springer 2012; US$ 39.95
- 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,... more...
- Wiley 2012; US$ 134.00
Making a decision, of any importance, is never simple. On the one hand, specialists in decision theory do not come within the reach of most policy makers and, secondly, there are very few books on pragmatic decision that are not purely anecdotal. In addition, there is virtually no book that provides a link between decision-making and action. This... more...