modern directional statistics interdisciplinary statistics

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Modern Directional Statistics

Author : Christophe Ley
ISBN : 9781351645782
Genre : Computers
File Size : 61. 44 MB
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Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the reading but is not mandatory. The field of directional statistics has received a lot of attention over the past two decades, due to new demands from domains such as life sciences or machine learning, to the availability of massive data sets requiring adapted statistical techniques, and to technological advances. This book covers important progresses in distribution theory,high-dimensional statistics, kernel density estimation, efficient inference on directional supports, and computational and graphical methods. Christophe Ley is professor of mathematical statistics at Ghent University. His research interests include semi-parametrically efficient inference, flexible modeling, directional statistics and the study of asymptotic approximations via Stein’s Method. His achievements include the Marie-Jeanne Laurent-Duhamel prize of the Société Française de Statistique and an elected membership at the International Statistical Institute. He is associate editor for the journals Computational Statistics & Data Analysis and Econometrics and Statistics. Thomas Verdebout is professor of mathematical statistics at Université libre de Bruxelles (ULB). His main research interests are semi-parametric statistics, high- dimensional statistics, directional statistics and rank-based procedures. He has won an annual prize of the Belgian Academy of Sciences and is an elected member of the International Statistical Institute. He is associate editor for the journals Statistics and Probability Letters and Journal of Multivariate Analysis.

Applied Directional Statistics

Author : Christophe Ley
ISBN : 9781351856522
Genre : Mathematics
File Size : 47. 1 MB
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This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017). The field of directional statistics has received a lot of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted statistical techniques, and technological advances. This book covers important progress in bioinformatics, biology, astrophysics, oceanography, environmental sciences, earth sciences, machine learning and social sciences.

Wahrscheinlichkeitsrechnung Und Statistik

Author : Robert Hafner
ISBN : 9783709169445
Genre : Mathematics
File Size : 74. 32 MB
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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.

Survival Analysis With Interval Censored Data

Author : Kris Bogaerts
ISBN : 9781420077483
Genre : Mathematics
File Size : 78. 31 MB
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Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years, interval censoring is often ignored in practice. Many are unaware of the impact of inappropriately dealing with interval censoring. In addition, the necessary software is at times difficult to trace. This book fills in the gap between theory and practice. Features: -Provides an overview of frequentist as well as Bayesian methods. -Include a focus on practical aspects and applications. -Extensively illustrates the methods with examples using R, SAS, and BUGS. Full programs are available on a supplementary website. The authors: Kris Bogaerts is project manager at I-BioStat, KU Leuven. He received his PhD in science (statistics) at KU Leuven on the analysis of interval-censored data. He has gained expertise in a great variety of statistical topics with a focus on the design and analysis of clinical trials. Arnošt Komárek is associate professor of statistics at Charles University, Prague. His subject area of expertise covers mainly survival analysis with the emphasis on interval-censored data and classification based on longitudinal data. He is past chair of the Statistical Modelling Society?and editor of?Statistical Modelling: An International Journal. Emmanuel Lesaffre is professor of biostatistics at I-BioStat, KU Leuven. His research interests include Bayesian methods, longitudinal data analysis, statistical modelling, analysis of dental data, interval-censored data, misclassification issues, and clinical trials. He is the founding chair of the?Statistical Modelling Society, past-president of the?International Society for Clinical Biostatistics,?and fellow of?ISI?and?ASA.

Flexible Imputation Of Missing Data Second Edition

Author : Stef van Buuren
ISBN : 9780429960345
Genre : Mathematics
File Size : 65. 14 MB
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Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between these replacements reflects our ignorance of the true (but missing) value. Each of the completed data set is then analyzed by standard methods, and the results are pooled to obtain unbiased estimates with correct confidence intervals. Multiple imputation is a general approach that also inspires novel solutions to old problems by reformulating the task at hand as a missing-data problem. This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field. This class-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by verbal statements that explain the formula in accessible terms. The book sharpens the reader’s intuition on how to think about missing data, and provides all the tools needed to execute a well-grounded quantitative analysis in the presence of missing data.

Compositional Data Analysis In Practice

Author : Michael Greenacre
ISBN : 9780429849015
Genre : Business & Economics
File Size : 43. 51 MB
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Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by first transforming them to logarithms of ratios. This book explains how this transformation affects the analysis, results and interpretation of this very special type of data. All aspects of compositional data analysis are considered: visualization, modelling, dimension-reduction, clustering and variable selection, with many examples in the fields of food science, archaeology, sociology and biochemistry, and a final chapter containing a complete case study using fatty acid compositions in ecology. The applicability of these methods extends to other fields such as linguistics, geochemistry, marketing, economics and finance. A unique didactic format, where each chapter has exactly eight pages of study material, many illustrative figures, and an end-of-chapter summary An approach aimed at students and applied researchers, gathering the mathematical aspects in a compact theoretical appendix Numerous examples from a variety of disciplines A computational appendix?that documents the easyCODA package for R developed by the author, making it possible for readers to reproduce the results A supporting website with data sets, R scripts and further study material

Analysis I

Author : KÖNIG
ISBN : 9783034899994
Genre : Mathematics
File Size : 50. 25 MB
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Dies ist der erste Band einer auf drei Bände angelegten Einführung in die reelle Analysis. Sie soll etwa den Stoff der an den Universitäten der Bundesrepublik Deutsch land üblichen dreisemestrigen einführenden Vorlesung umfassen. Ich habe diese Vor lesung viele Male gehalten. Die Darstellung des Buches ist verhältnismäßig kurz und von konzentrierter Diktion. Das Werk wird aber hinreichend umfassend sein, um als Fundament für das Gesamtgebäude der Analysis dienen zu können. Struktur und Stoffauswahl sind durch meine eigenen Arbeiten wesentlich mitbeeinflußt. Der erste Band umfaßt die Grenzwerttheorie und die Differential- und Integral rechnung für Funktionen einer reellen Veränderlichen. Er weist gegenüber den vor liegenden Darstellungen mehrere Besonderheiten auf. 1) Die Begriffe Limes inferior und Limes superior, die in praktisch allen einführenden Lehrbüchern nur für reelle Zahlenfolgen definiert werden, dienen auch bei den reellen Funktionen einer reellen Veränderlichen als Fundament der Grenzwerttheorie. Der Limes superior wird syste matisch zum Beweis von Grenzwertaussagen verwendet. Es ist den in der Analysis arbeitenden Forschern geläufig, daß diese Technik besonders kurze und übersichtliche Schlußweisen erlaubt. 2) Der Ideenkreis des Mittelwertsatzes der Differentialrechnung wird vollkommen neu dargestellt, und es wird mit besonderem Gewicht der Einsatz der Differentiation zum Gewinnen von Ungleichungen betrieben. 3) Das Buch entwickelt ausführlich das in der Analysis viel benutzte elementare Stieltjes-Integral, und zwar in einer die komplexwertigen Funktionen und damit die Kurvenintegrale der komplexen Analysis umfassenden Version. 4) Es finden sich viele neue Übungsaufgaben.

Elementare Wahrscheinlichkeitstheorie Und Stochastische Prozesse

Author : Kai L. Chung
ISBN : 9783642670336
Genre : Mathematics
File Size : 83. 12 MB
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Aus den Besprechungen: "Unter den zahlreichen Einführungen in die Wahrscheinlichkeitsrechnung bildet dieses Buch eine erfreuliche Ausnahme. Der Stil einer lebendigen Vorlesung ist über Niederschrift und Übersetzung hinweg erhalten geblieben. In jedes Kapitel wird sehr anschaulich eingeführt. Sinn und Nützlichkeit der mathematischen Formulierungen werden den Lesern nahegebracht. Die wichtigsten Zusammenhänge sind als mathematische Sätze klar formuliert." #FREQUENZ#1

Bayesian Methods In Structural Bioinformatics

Author : Thomas Hamelryck
ISBN : 9783642272257
Genre : Medical
File Size : 73. 78 MB
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This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structural bioinformatics (and in particular protein structure prediction, simulation, experimental structure determination and analysis). It focuses on statistical methods that have a clear interpretation in the framework of statistical physics, rather than ad hoc, black box methods based on neural networks or support vector machines. In addition, the emphasis is on methods that deal with biomolecular structure in atomic detail. The book is highly accessible, and only assumes background knowledge on protein structure, with a minimum of mathematical knowledge. Therefore, the book includes introductory chapters that contain a solid introduction to key topics such as Bayesian statistics and concepts in machine learning and statistical physics.

Towards An Interdisciplinary Perspective On The Life Course

Author : René Levy
ISBN : 9780080460802
Genre : Social Science
File Size : 45. 26 MB
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Despite the well-established consensus on the need for an interdisciplinary research paradigm to understand the unfolding of human lives within their social context, existing empirical research rarely embraces this belief. This volume aims at examining the feasibility and hurdles of interdisciplinarity specific to given research fields by bringing together leading North-American and European researchers in sociology, psychology, social psychology and social demography, all highly concerned with fostering an interdisciplinary perspective for the study of the human life course. The contributions are organized along four major axes, three of them substantive (agency and structure, transitions, and biographical re-constructions) and one methodological (methodological innovations), leaving ample leeway for the contributions to address the specific gains and difficulties of empirical interdisciplinary research within their particular domain. The editors introduce the volume by discussing general features, theoretical linkages, and transversal substantive themes of interdisciplinarity in life course research. Likewise, the volume is ended by the editors’ conclusions based on the contributions; they single out major challenges and difficulties for the interdisciplinary study of the life course, together with some promising research meant to address such difficulties and improve current knowledge about the life course. The volume speaks to both experienced scholars and graduate students of the life course. Advanced scholars will benefit from the latest in life course research domains and from a comprehensive overview of life course methodologies. Graduate students of the life course will find in the book an original introduction to many empirical aspects of life course research and to the application of innovative methods to various research settings, as well as rich bibliographical references from the research literature in English, German and French.

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