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#### Gaussian Hilbert Spaces

Cambridge University Press 1997; US$ 72.00This book treats the fundamental mathematical properties that hold for a family of Gaussian random variables. more...

#### Characteristic Functions, Scattering Functions and Transfer Functions

Birkhäuser Basel 2010; US$ 219.00The 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...

#### Handbook of Fitting Statistical Distributions with R

CRC Press 2010; US$ 199.95With 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...

#### Advances in Distribution Theory, Order Statistics, and Inference

Birkhäuser Boston 2007; US$ 319.00Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian inference, multivariate analysis, bounds and orderings, and characterization problems. Organized to honor Arnold?s significant contributions to the field, this volume is an outgrowth of the "International Conference on Distribution... more...

#### Advances on Models, Characterizations and Applications

CRC Press 2005; US$ 132.95Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including engineering, biological sciences, and health and social sciences. Since they are used to model observed data and ultimately to develop inferential procedures, understanding the properties of statistical distributions is... more...

#### Benford's Law

Princeton University Press 2015; US$ 75.00Benford?s law states that the leading digits of many data sets are not uniformly distributed from one through nine, but rather exhibit a profound bias. This bias is evident in everything from electricity bills and street addresses to stock prices, population numbers, mortality rates, and the lengths of rivers. Here, Steven Miller brings together many... more...

#### Continuous Multivariate Distributions

Wiley 2004; US$ 269.00Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects,... more...

#### Convergence of Probability Measures

Wiley 2013; US$ 185.00A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments of the past thirty years. Widely known for his straightforward approach and reader-friendly style, Dr. Billingsley presents a clear,... more...

#### Dependence Modeling with Copulas

CRC Press 2014; US$ 89.95Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data. Vine copula models are constructed from a sequence of bivariate copulas. The book develops generalizations of vine copula models, including common and structured factor... more...

#### Exponentiated Distributions

Atlantis Press 2015; US$ 89.99This book contains entirely new results, not to be found elsewhere. Furthermore, additional results scattered elsewhere in the literature are clearly presented. Several well-known distributions such as Weibull distributions, exponentiated Burr type XII distributions and exponentiated exponential distributions and their properties are demonstrated.... more...