An Introduction to the Bootstrap

Author: Bradley Efron,R.J. Tibshirani
Publisher: CRC Press
ISBN: 9780412042317
Category: Mathematics
Page: 456
View: 8019
Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.

Gewußt wie: Praxisleitfaden Seriation und Korrespondenzanalyse in der Archäologie

Author: Frank Siegmund
Publisher: BoD – Books on Demand
ISBN: 3739298014
Category: History
Page: 84
View: 7093
Seriation und Korrespondenzanalyse (CA) sind statistische Verfahren, die in der Archäologie häufig angewendet werden. Die CA dient vor allem dazu, die Kombination von Objekten (Typen) in zahlreichen Fundkomplexen wie z. B. Gräbern, Horten oder Siedlungsgruben zu analysieren, um deren relative zeitliche Abfolge aufzudecken. Das Buch führt in die Methode ein und bietet vor allem auf Basis der freien Software PAST eine praktische Einführung mit konkreten Übungsbeispielen. Der Text ist zum Selbststudium gedacht. Nach Durcharbeiten des Leitfadens und der Übungen ist der Leser in der Lage, selbständig eigene Analysen durchzuführen und auszuwerten. Der Praxisleitfaden ist von einem Archäologen für Archäologen geschrieben und mit Studierenden der Archäologie getestet, doch die Methode ist auch für andere Wissensbereiche wie etwa die Sozialwissenschaften oder Biologie und Ökologie relevant. Grundlage der praktischen Übungen ist die freie Software PAST, die für Rechner unter MS-Windows sowie MACs verfügbar ist.

Das Mobiltelefon im Spiegel fiktionaler Fernsehserien

Symbolische Modelle der Handyaneignung
Author: Veronika Karnowski
Publisher: Springer-Verlag
ISBN: 3531912119
Category: Social Science
Page: 201
View: 5235

Density Estimation for Statistics and Data Analysis

Author: Bernard. W. Silverman
Publisher: CRC Press
ISBN: 9780412246203
Category: Mathematics
Page: 176
View: 4227
Although there has been a surge of interest in density estimation in recent years, much of the published research has been concerned with purely technical matters with insufficient emphasis given to the technique's practical value. Furthermore, the subject has been rather inaccessible to the general statistician. The account presented in this book places emphasis on topics of methodological importance, in the hope that this will facilitate broader practical application of density estimation and also encourage research into relevant theoretical work. The book also provides an introduction to the subject for those with general interests in statistics. The important role of density estimation as a graphical technique is reflected by the inclusion of more than 50 graphs and figures throughout the text. Several contexts in which density estimation can be used are discussed, including the exploration and presentation of data, nonparametric discriminant analysis, cluster analysis, simulation and the bootstrap, bump hunting, projection pursuit, and the estimation of hazard rates and other quantities that depend on the density. This book includes general survey of methods available for density estimation. The Kernel method, both for univariate and multivariate data, is discussed in detail, with particular emphasis on ways of deciding how much to smooth and on computation aspects. Attention is also given to adaptive methods, which smooth to a greater degree in the tails of the distribution, and to methods based on the idea of penalized likelihood.

Statistik für Ausfalldaten

Modelle und Methoden für Zuverlässigkeitsuntersuchungen
Author: Gisela Härtler
Publisher: Springer-Verlag
ISBN: 3662503034
Category: Mathematics
Page: 194
View: 4711
Dieses Buch bietet eine Einführung in die statistische Analyse von Beobachtungs- und Messwerten in Zuverlässigkeitsexperimenten und ist hauptsächlich als Handbuch für den Praktiker gedacht. Leser mit einer technischen Ausbildung, die einen tieferen Einblick in die mathematische Statistik wünschen, finden in diesem Buch eine Anleitung zum Umgang mit empirischer Information und deren Verknüpfung mit statistischen Methoden. Im Vergleich mit anderen Anwendungen der mathematischen Statistik haben Ausfalldaten einige Besonderheiten: Sie sind zeitabhängig, was sich in der Ausfallrate ausdrückt. Die Wahrscheinlichkeit ist gering, dass im Beobachtungszeitraum alle Objekte ausfallen, es entstehen also zensierte Stichproben. Die Ausfallwahrscheinlichkeit im Experiment lässt sich durch Überlastung erhöhen, man muss aber zusätzlich auf die Zuverlässigkeit unter Normbelastung extrapolieren. Für diese Besonderheiten werden spezielle Modelle und Methoden benötigt, die in der Fachliteratur über Statistik sonst nur selten vorkommen.

Copulae and Multivariate Probability Distributions in Finance

Author: Alexandra Dias,Mark Salmon,Chris Adcock
Publisher: Routledge
ISBN: 1317976908
Category: Business & Economics
Page: 208
View: 8152
Portfolio theory and much of asset pricing, as well as many empirical applications, depend on the use of multivariate probability distributions to describe asset returns. Traditionally, this has meant the multivariate normal (or Gaussian) distribution. More recently, theoretical and empirical work in financial economics has employed the multivariate Student (and other) distributions which are members of the elliptically symmetric class. There is also a growing body of work which is based on skew-elliptical distributions. These probability models all exhibit the property that the marginal distributions differ only by location and scale parameters or are restrictive in other respects. Very often, such models are not supported by the empirical evidence that the marginal distributions of asset returns can differ markedly. Copula theory is a branch of statistics which provides powerful methods to overcome these shortcomings. This book provides a synthesis of the latest research in the area of copulae as applied to finance and related subjects such as insurance. Multivariate non-Gaussian dependence is a fact of life for many problems in financial econometrics. This book describes the state of the art in tools required to deal with these observed features of financial data. This book was originally published as a special issue of the European Journal of Finance.

Methods Matter

Improving Causal Inference in Educational and Social Science Research
Author: Richard J. Murnane,John B. Willett
Publisher: Oxford University Press
ISBN: 0199890153
Category: Psychology
Page: 416
View: 5620
Educational policy-makers around the world constantly make decisions about how to use scarce resources to improve the education of children. Unfortunately, their decisions are rarely informed by evidence on the consequences of these initiatives in other settings. Nor are decisions typically accompanied by well-formulated plans to evaluate their causal impacts. As a result, knowledge about what works in different situations has been very slow to accumulate. Over the last several decades, advances in research methodology, administrative record keeping, and statistical software have dramatically increased the potential for researchers to conduct compelling evaluations of the causal impacts of educational interventions, and the number of well-designed studies is growing. Written in clear, concise prose, Methods Matter: Improving Causal Inference in Educational and Social Science Research offers essential guidance for those who evaluate educational policies. Using numerous examples of high-quality studies that have evaluated the causal impacts of important educational interventions, the authors go beyond the simple presentation of new analytical methods to discuss the controversies surrounding each study, and provide heuristic explanations that are also broadly accessible. Murnane and Willett offer strong methodological insights on causal inference, while also examining the consequences of a wide variety of educational policies implemented in the U.S. and abroad. Representing a unique contribution to the literature surrounding educational research, this landmark text will be invaluable for students and researchers in education and public policy, as well as those interested in social science.

Einführung in die Statistik der Finanzmärkte

Author: Jürgen Franke,Wolfgang Karl Härdle,Christian Matthias Hafner
Publisher: Springer-Verlag
ISBN: 3642170498
Category: Business & Economics
Page: 428
View: 9866

Statistical Inference

Author: S.D. Silvey
Publisher: CRC Press
ISBN: 9780412138201
Category: Mathematics
Page: 192
View: 9064
Statistics is a subject with a vast field of application, involving problems which vary widely in their character and complexity.However, in tackling these, we use a relatively small core of central ideas and methods. This book attempts to concentrateattention on these ideas: they are placed in a general settingand illustrated by relatively simple examples, avoidingwherever possible the extraneous difficulties of complicatedmathematical manipulation.In order to compress the central body of ideas into a smallvolume, it is necessary to assume a fair degree of mathematicalsophistication on the part of the reader, and the book is intendedfor students of mathematics who are already accustomed tothinking in rather general terms about spaces and functions

Wahrscheinlichkeitsrechnung und Statistik

Author: Robert Hafner
Publisher: Springer-Verlag
ISBN: 3709169445
Category: Mathematics
Page: 512
View: 8012
Das Buch ist eine Einführung in die Wahrscheinlichkeitsrechnung und mathematische Statistik auf mittlerem mathematischen Niveau. Die Pädagogik der Darstellung unterscheidet sich in wesentlichen Teilen – Einführung der Modelle für unabhängige und abhängige Experimente, Darstellung des Suffizienzbegriffes, Ausführung des Zusammenhanges zwischen Testtheorie und Theorie der Bereichschätzung, allgemeine Diskussion der Modellentwicklung – erheblich von der anderer vergleichbarer Lehrbücher. Die Darstellung ist, soweit auf diesem Niveau möglich, mathematisch exakt, verzichtet aber bewußt und ebenfalls im Gegensatz zu vergleichbaren Texten auf die Erörterung von Meßbarkeitsfragen. Der Leser wird dadurch erheblich entlastet, ohne daß wesentliche Substanz verlorengeht. Das Buch will allen, die an der Anwendung der Statistik auf solider Grundlage interessiert sind, eine Einführung bieten, und richtet sich an Studierende und Dozenten aller Studienrichtungen, für die mathematische Statistik ein Werkzeug ist.

Generalized Additive Models

Author: T.J. Hastie,R.J. Tibshirani
Publisher: CRC Press
ISBN: 9780412343902
Category: Mathematics
Page: 352
View: 5599
This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in each chapter, and case studies enhance this popular text.

Developments in Risk-based Approaches to Safety

Proceedings of the Fourteenth Safety-citical Systems Symposium, Bristol, UK, 7-9 February 2006
Author: Felix Redmill,Tom Anderson
Publisher: Springer Science & Business Media
ISBN: 9781846284472
Category: Computers
Page: 292
View: 814
This book assembles papers presented at the 14th Annual Safety-critical Systems Symposium, held at Bristol, UK in February 2006. The papers address the most critical topics in the field of safety-critical systems. The focus, considered from various perspectives, is on recent developments in risk-based approaches. Subjects discussed include innovation in risk analysis, management risk, the safety case, software safety, language development and the creation of systems for complex control functions.

Statistics and Finance

An Introduction
Author: David Ruppert
Publisher: Springer
ISBN: 1441968768
Category: Business & Economics
Page: 474
View: 6494
This book emphasizes the applications of statistics and probability to finance. The basics of these subjects are reviewed and more advanced topics in statistics, such as regression, ARMA and GARCH models, the bootstrap, and nonparametric regression using splines, are introduced as needed. The book covers the classical methods of finance and it introduces the newer area of behavioral finance. Applications and use of MATLAB and SAS software are stressed. The book will serve as a text in courses aimed at advanced undergraduates and masters students. Those in the finance industry can use it for self-study.

The Relation of Lifestyle Factors and Reproductive History to Primary Biliary Cirrhosis

Author: Arti Parikh-Patel
Publisher: N.A
Page: 236
View: 8689

Quality Control and Applied Statistics

Author: N.A
Publisher: N.A
Category: Operations research
Page: N.A
View: 3074

Probability and Statistics with R

Author: Maria Dolores Ugarte,Ana F. Militino,Alan T. Arnholt
Publisher: Chapman and Hall/CRC
Category: Mathematics
Page: 728
View: 4246
Designed for an intermediate undergraduate course, Probability and Statistics with R shows students how to solve various statistical problems using both parametric and nonparametric techniques via the open source software R. It provides numerous real-world examples, carefully explained proofs, end-of-chapter problems, and illuminating graphs to facilitate hands-on learning. Integrating theory with practice, the text briefly introduces the syntax, structures, and functions of the S language, before covering important graphically and numerically descriptive methods. The next several chapters elucidate probability and random variables topics, including univariate and multivariate distributions. After exploring sampling distributions, the authors discuss point estimation, confidence intervals, hypothesis testing, and a wide range of nonparametric methods. With a focus on experimental design, the book also presents fixed- and random-effects models as well as randomized block and two-factor factorial designs. The final chapter describes simple and multiple regression analyses. Demonstrating that R can be used as a powerful teaching aid, this comprehensive text presents extensive treatments of data analysis using parametric and nonparametric techniques. It effectively links statistical concepts with R procedures, enabling the application of the language to the vast world of statistics.

Proceedings of the Section on Physical and Engineering Sciences

Author: American Statistical Association. Section on Physical and Engineering Sciences
Publisher: N.A
ISBN: 9781883276638
Category: Physical sciences
Page: 204
View: 709

Bayesian statistical modelling

Author: Peter Congdon
Publisher: John Wiley & Sons Inc
ISBN: 9780471496007
Category: Mathematics
Page: 531
View: 6737
Bayesian methods draw upon previous research findings and combine them with sample data to analyse problems and modify existing hypotheses. The calculations are often extremely complex, with many only now possible due to recent advances in computing technology. Bayesian methods have as a result gained wider acceptance, and are applied in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Bayesian Statistical Modelling presents an accessible overview of modelling applications from a Bayesian perspective. * Provides an integrated presentation of theory, examples and computer algorithms * Examines model fitting in practice using Bayesian principles * Features a comprehensive range of methodologies and modelling techniques * Covers recent innovations in bayesian modelling, including Markov Chain Monte Carlo methods * Includes extensive applications to health and social sciences * Features a comprehensive collection of nearly 200 worked examples * Data examples and computer code in WinBUGS are available via ftp Whilst providing a general overview of Bayesian modelling, the author places emphasis on the principles of prior selection, model identification and interpretation of findings, in a range of modelling innovations, focussing on their implementation with real data, with advice as to appropriate computing choices and strategies. Researchers in applied statistics, medical science, public health and the social sciences will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a good reference source for both researchers and students.

Proceedings of the Third International Symposium on Applications of Modelling as an Innovative Technology in the Agri-Food-Chain

Author: M. L. A. T. M. Hertog,B. M. Nicolaï,L. M. M. Tijskens
Publisher: N.A
ISBN: 9789066056183
Category: Food industry and trade
Page: 617
View: 633

Applications and Science of Artificial Neural Networks

Author: Steven K. Rogers,Dennis W. Ruck
Publisher: N.A
ISBN: 9780819418456
Category: Neural networks (Computer science)
Page: 1220
View: 388
Volumes consist of the proceedings of the International Conference on Applications and Science of Artificial Neural Networks.