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#### Probabilità Statistica e Simulazione

Springer Milan 2006; US$ 20.59Il volume contiene in forma compatta il programma svolto negli insegnamenti introduttivi di statistica e tratta alcuni argomenti indispensabili per l'attività di ricerca, come ad esempio i metodi di simulazione Monte Carlo, le procedure di minimizzazione e le tecniche di analisi dei dati di laboratorio. Gli argomenti vengono sviluppati partendo dai... more...

#### Wahrscheinlichkeitstheorie

Springer Berlin Heidelberg 2006; US$ 24.17Dieses Lehrbuch bietet eine umfassende moderne Einführung in die wichtigsten Gebiete der Wahrscheinlichkeitstheorie und ihre maßtheoretischen Grundlagen. Themenschwerpunkte sind: Maß- und Integrationstheorie, Grenzwertsätze für Summen von Zufallsvariablen (Gesetze der Großen Zahl, Zentraler Grenzwertsatz, Ergodensätze, Gesetz vom iterierten Logarithmus,... more...

#### Functional Data Analysis

Springer New York 2006; US$ 149.18Scientists today collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and canonical correlation analysis, as well as specifically functional... more...

#### Models for Probability and Statistical Inference

Wiley 2007; US$ 166.00 US$ 143.87This 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...

#### Introduction to Empirical Processes and Semiparametric Inference

Springer New York 2007; US$ 149.18The goal of this book is to introduce statisticians, and other researchers with a background in mathematical statistics, to empirical processes and semiparametric inference. These powerful research techniques are surpr- ingly useful for studying large sample properties of statistical estimates from realistically complex models as well as for developing... more...

#### Good Thinking

University of Minnesota Press 1983; US$ 72.00Good 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...

#### Polya Urn Models

CRC Press 2008; US$ 99.95Incorporating 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 Models

Wiley 2008; US$ 136.00 US$ 117.87An 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 Friends

Birkhäuser Basel 2008; US$ 45.81This 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...

#### Robust Estimation and Hypothesis Testing

New Age International Pvt. Ltd., Publishers 2004; US$ 35.00In statistical theory and practice, a certain distribution is usually assumed and then optimal solutions sought. Since deviations from an assumed distribution are very common, one cannot feel comfortable with assuming a particular distribution and believing it to be exactly correct. That brings the robustness issue in focus. In this book, we have given... more...