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Probabilities. Mathematical statistics

Most popular at the top

  • Models for Probability and Statistical Inferenceby James H. Stapleton

    Wiley 2007; US$ 166.00 US$ 143.87

    This concise, yet thorough, book is enhanced with simulations and graphs to build the intuition of readers Models for Probability and Statistical Inference was written over a five-year period and serves as a comprehensive treatment of the fundamentals of probability and statistical inference. With detailed theoretical coverage found throughout the... more...

  • Good Thinkingby I.J. Good

    University of Minnesota Press 1983; US$ 72.00

    Good Thinking is a representative sampling of I. J. Good?s writing on a wide range of questions about the foundations of statistical inference, especially where induction intersects with philosophy. Good believes that clear reasoning about many important practical and philosophical questions is impossible except in terms of probability. This book collects... more...

  • Statistical Analysis and Modelling of Spatial Point Patternsby Janine Illian; Antti Penttinen; Helga Stoyan; Dietrich Stoyan

    Wiley 2008; US$ 161.00 US$ 139.53

    Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plate, galaxies in the universe, and particle centres... more...

  • Polya Urn Modelsby Hosam Mahmoud

    CRC Press 2008; US$ 99.95

    Incorporating a collection of recent results, Pólya Urn Models deals with discrete probability through the modern and evolving urn theory and its numerous applications. The book first substantiates the realization of distributions with urn arguments and introduces several modern tools, including exchangeability and stochastic processes via urns.... more...

  • Linear Modelsby Brenton R. Clarke

    Wiley 2008; US$ 136.00 US$ 117.87

    An insightful approach to the analysis of variance in the study of linear models Linear Models explores the theory of linear models and the dynamic relationships that these models have with Analysis of Variance (ANOVA), experimental design, and random and mixed-model effects. This one-of-a-kind book emphasizes an approach that clearly explains the... more...

  • Israel Gohberg and Friendsby Harm Bart; Thomas Hempfling; Marinus Kaashoek

    Birkhäuser Basel 2008; US$ 69.99

    This book is dedicated to Israel Gohberg on occasion of his 80th birthday on 2008. It contains reflections by Gohberg himself on his own mathematical activities and those of others. It presents the way in which he influenced the lives of many mathematicians. more...

  • Optimal Stopping Rulesby A.B. Aries; Albert N. Shiryaev

    Springer Berlin Heidelberg 2007; US$ 89.99

    Although three decades have passed since first publication of this book reprinted now as a result of popular demand, the content remains up-to-date and interesting for many researchers as is shown by the many references to it in current publications. The "ground floor" of Optimal Stopping Theory was constructed by A.Wald in his sequential... more...

  • Quasi-Stationary Phenomena in Nonlinearly Perturbed Stochastic Systemsby Mats Gyllenberg; Dmitrii S. Silvestrov

    De Gruyter 2008; US$ 266.00

    This book is devoted to the mathematical studies of stochastic systems with quasi-stationary phenomena which have applications to population dynamics or epidemic models. In addition to its use for the research and reference purposes, the book can also be used in special courses on the subject and as a complementary reading in general courses... more...

  • Data Manipulation with Rby Phil Spector

    Springer New York 2008; US$ 79.99

    This book presents an array of methods applicable for reading data into R, and efficiently manipulating that data. In addition to the built-in functions, a number of readily available packages from CRAN (the Comprehensive R Archive Network) are also covered. more...

  • Discrete Multivariate Analysisby Yvonne M. Bishop; R.J. Light; Stephen E. Fienberg; F. Mosteller; Paul W. Holland

    Springer New York 2007; Not Available

    6. 2 The Two-Sample Capture-Recapture Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231 6. 3 Conditional Maximum Likelihood Estimation of N . . . . . . . . . . . . . . . . . . . . . . 236 6. 4 The Three-Sample Census . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .... more...