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Probabilities. Mathematical statistics

Most popular at the top

  • Multivariate T-Distributions and Their Applicationsby Samuel Kotz; Saralees Nadarajah

    Cambridge University Press 2004; US$ 108.00

    A comprehensive reference of almost all results on multivariate t-distributions published in the last 50 years. more...

  • Probabilityby Allan Gut

    Springer-Verlag New York Inc 2006; US$ 119.00

    "I know it's trivial, but I have forgotten why". This is a slightly exaggerated characterization of the unfortunate attitude of many mathematicians toward the surrounding world. The point of departure of this book is the opposite. This textbook on the theory of probability is aimed at graduate students, with the ideology that rather than being a purely... more...

  • The Generic Chainingby Michel Talagrand

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 169.00

    The fundamental question of characterizing continuity and boundedness of Gaussian processes goes back to Kolmogorov. After essential contributions by R. Dudley and X. Fernique, it was solved by the author in 1985. This advance was followed by a great improvement of our understanding of the boundedness of other fundamental classes of processes (empirical... more...

  • Robust Statistical Methods with Rby Jana Jureckova; Jan Picek

    Taylor and Francis 2005; US$ 119.95

    Robust statistical methods were developed to supplement the classical procedures when the data violate classical assumptions. They are ideally suited to applied research across a broad spectrum of study, yet most books on the subject are narrowly focused, overly theoretical, or simply outdated. Robust Statistical Methods with R provides a systematic... more...

  • Statistical Inference Based on Divergence Measuresby Leandro Pardo

    Taylor and Francis 2005; US$ 115.95

    The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this powerful... more...

  • Subjective Probability Models for Lifetimesby Fabio Spizzichino

    Taylor and Francis 2001; US$ 125.95

    Bayesian methods in reliability cannot be fully utilized and understood without full comprehension of the essential differences that exist between frequentist probability and subjective probability. Switching from the frequentist to the subjective approach requires that some fundamental concepts be rethought and suitably redefined. Subjective Probability... more...

  • Functional Approach to Optimal Experimental Designby Viatcheslav B. Melas

    Springer-Verlag New York Inc 2006; US$ 119.00

    Deals with functional theory of optimal designs. This theory relates to points and weight of optimal designs considered as functions of some values. This statistical monograph is useful for researchers in the area of experimental design. more...

  • Inference in Hidden Markov Modelsby Olivier Cappe

    Springer-Verlag New York Inc 2006; US$ 199.00

    Gives a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. This book is aimed at anybody with an interest in inference for stochastic processes, researchers, and practitioners in areas such as statistics, signal processing, communications engineering, finance, and more. more...

  • Nonparametric Monte Carlo Tests and Their Applicationsby Lixing Zhu

    Springer-Verlag New York Inc 2006; US$ 129.00

    Monte Carlo approximation to the null distribution of the test provides a convenient means of testing model fit. This book proposes a Monte Carlo-based methodology to construct this type of approximation when the model is semistructured. It addresses both applied and theoretical aspects of nonparametric Monte Carlo tests. more...

  • Analysis of Messy Data, Volume IIIby George A. Milliken; Dallas E. Johnson

    Taylor and Francis 2001; US$ 129.95

    Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design. Analysis of Messy Data, Volume 3: Analysis of Covariance takes the unique approach of treating the analysis of covariance problem by looking... more...