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- Springer-Verlag New York Inc 2007; US$ 169.00
Stochastic ordering is a fundamental guide for decision making under uncertainty. This text covers the various notions of stochastic orderings, their closure properties, and their applications. It is intended for those who are interested in decision making under uncertainty and in the analysis of complex stochastic systems. more...
- Springer 2006; US$ 69.95
Brings together a comprehensive collection of mathematical material in one location. This book also offers a variety of results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians. more...
- Springer 2010; US$ 189.00
The notions of transfer function and characteristic functions proved to be fundamental in the last fifty years in operator theory and in system theory. Moshe Livsic played a central role in developing these notions, and the book contains a selection of carefully chosen refereed papers dedicated to his memory. Topics include classical operator theory,... more...
- Taylor and Francis 2011; US$ 164.95
With the development of new fitting methods, their increased use in applications, and improved computer languages, the fitting of statistical distributions to data has come a long way since the introduction of the generalized lambda distribution (GLD) in 1969. Handbook of Fitting Statistical Distributions with R presents the latest and best methods,... more...
- Taylor and Francis 2005; US$ 154.95
The normal distribution is widely known and used by scientists and engineers. However, there are many cases when the normal distribution is not appropriate, due to the data being skewed. Rather than leaving you to search through journal articles, advanced theoretical monographs, or introductory texts for alternative distributions, the Handbook of Exponential... more...
- Taylor and Francis 2004; US$ 129.95
This book reviews the state-of-the-art advances in skew-elliptical distributions and provides many new developments in a single volume, collecting theoretical results and applications previously scattered throughout the literature. The main goal of this research area is to develop flexible parametric classes of distributions beyond the classical normal... more...
- Wiley 2004; US$ 189.00
An up-to-date, comprehensive account of major issues in finite mixture modeling This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas such as unsupervised pattern recognition, speech recognition,... more...
- Taylor and Francis 2003; US$ 304.00
Infinite Divisibility of Probability Distributions on the Real Line reassesses classical theory and presents new developments, while focusing on divisibility with respect to convolution or addition of independent random variables. This definitive, example-rich text supplies approximately 100 examples to correspond with all major chapter topics and... more...
- Taylor and Francis 2002; US$ 231.00
This work describes the selection, design, theory, and application of tests for normality. It covers robust estimation, test power, and univariate and multivariate normality. It contains tests for multivariate normality and coordinate-dependent and invariant approaches. more...