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In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g., …

geschrieben von Kurt Weichselberger (Autor) und Sigrid Pöhlmann (Autor)

Statistics for Lawyers is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical probability and statistics as they have been applied in the …

Describing Data.- Inferring Causation.- How to Count: Permutations and Combinations.- Elements of Probability.- Some Probability Distributions.- Statistical Inference for Two Proportions.- Comparing …

geschrieben von Michael Finkelstein (Autor) und Bruce Levin (Autor)

The authors address the assumptions and methods that allow us to turn observations into causal knowledge, and use even incomplete causal knowledge in planning and prediction to influence and control …

geschrieben von Peter Spirtes (Autor) und Clark Glymour (Autor) und Richard Scheines (Autor)

Density estimation has evolved enormously since the days of bar plots and histograms, but researchers and users are still struggling with the problem of the selection of the bin widths. This text …

Introduction.- Concentration Inequalities.- Uniform Deviation Inequalities.- Combinatorial Tools.- Total Variation.- Choosing a Density Estimate from a Collection.- Skeleton Estimates.- The Minimum …

geschrieben von Luc Devroye (Autor) und Gabor Lugosi (Autor) und L. Dvroye (Autor)

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized …

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and …

Overview of Supervised Learning.- Linear Methods for Regression.- Linear Methods for Classification.- Basic Expansions and Regularization.- Kernel Methods.- Model Assessment and Selection.- Model …

geschrieben von Trevor Hastie (Autor) und T. Hastie (Autor) und J. Friedman (Autor)

Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate background in probability theory and …

Universal Lossless Data Compression.- Links Between Data Compression and Statistical Estimation.- Non Cumulated Mean Risk.- Gibbs Estimators.- Randomized Estimators and Empirical Complexity.- …

geschrieben von Olivier Catoni (Autor) und Jean Picard (Herausgeber)

Bowling Green State University, Ohio, USA …

Featuring contributions from leading researchers in this area, "Statistical Thinking in Sports" covers statistical and econometric methodology along with a range of sporting applications. The book …

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geschrieben von Jim Albert (Herausgeber) und Ruud H. Koning (Herausgeber)

This volume presents recent methodological developments in data analysis and classification. A wide range of topics is covered that includes methods for classification and clustering, dissimilarity …

geschrieben von Paula Brito (Herausgeber) und Patrice Bertrand (Herausgeber) und Guy Cucumel (Herausgeber) und Francisco De Carvalho (Herausgeber)

Studienarbeit aus dem Jahr 2005 im Fachbereich Statistik, einseitig bedruckt, Note: 1,3, Universität Passau, 13 Eintragungen im Literaturverzeichnis, Sprache: Deutsch, Abstract: Zunehmender …

geschrieben von Elisabeth Glöckner (Autor)

Sandra Leissen, Diplom-Statistikerin: Studium der Statistik an der Universität Dortmund. Heute: Wissenschaftliche Mitarbeiterin an der Fakultät Statistik der Technischen Universität …

Sollen im Rahmen einer statistischen Analyse Daten zu verschiedenen Gruppen untersucht werden, die sich bezüglich der Einstellungen eines interessierenden Faktors anordnen lassen, ist es meist …

geschrieben von Sandra Leissen (Autor)