handbook of cluster analysis chapman hall crc handbooks of modern statistical methods

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Handbook Of Cluster Analysis

Author : Christian Hennig
ISBN : 9781466551893
Genre : Business & Economics
File Size : 42. 23 MB
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Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools. The book is organized according to the traditional core approaches to cluster analysis, from the origins to recent developments. After an overview of approaches and a quick journey through the history of cluster analysis, the book focuses on the four major approaches to cluster analysis. These approaches include methods for optimizing an objective function that describes how well data is grouped around centroids, dissimilarity-based methods, mixture models and partitioning models, and clustering methods inspired by nonparametric density estimation. The book also describes additional approaches to cluster analysis, including constrained and semi-supervised clustering, and explores other relevant issues, such as evaluating the quality of a cluster. This handbook is accessible to readers from various disciplines, reflecting the interdisciplinary nature of cluster analysis. For those already experienced with cluster analysis, the book offers a broad and structured overview. For newcomers to the field, it presents an introduction to key issues. For researchers who are temporarily or marginally involved with cluster analysis problems, the book gives enough algorithmic and practical details to facilitate working knowledge of specific clustering areas.

Neue Trends In Den Sozialwissenschaften

Author : Sebastian Jäckle
ISBN : 9783658171896
Genre : Social Science
File Size : 35. 26 MB
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Dieses Buch stellt einige wichtige und zukunftsträchtige neuere Methoden in den Sozialwissenschaften vor. Ziel des Buches ist, einerseits deren Grundlogik zu klären und andererseits zu zeigen, inwiefern sie den klassischen Methodenkatalog sinnvoll ergänzen können. Dazu wird das Spektrum an mit diesen Techniken bearbeitbaren Fragestellungen aufgezeigt, Beispielarbeiten diskutiert, nötige Voraussetzungen z.B. in Bezug auf die Datenqualität angesprochen, und damit insgesamt das Potential dieser Verfahren veranschaulicht. Zudem gibt jeder Beitrag praktische Tipps für die Umsetzung eigener Forschungsarbeiten und anhand kommentierter Literaturempfehlungen Ansatzpunkte für die intensivere Beschäftigung mit den Methoden. Daneben wird (sofern angebracht) kurz diskutiert welche Softwarepakete sich für die Anwendung eignen.

Handbook Of Statistical Methods And Analyses In Sports

Author : Jim Albert
ISBN : 9781351678964
Genre : Mathematics
File Size : 47. 15 MB
Format : PDF, ePub
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This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area.

Handbook Of Neuroimaging Data Analysis

Author : Hernando Ombao
ISBN : 9781315356204
Genre : Mathematics
File Size : 83. 12 MB
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This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology, neuroscience, and computer science.

Handbook Of Big Data

Author : Peter Bühlmann
ISBN : 9781482249088
Genre : Business & Economics
File Size : 87. 88 MB
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Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice. Offering balanced coverage of methodology, theory, and applications, this handbook: Describes modern, scalable approaches for analyzing increasingly large datasets Defines the underlying concepts of the available analytical tools and techniques Details intercommunity advances in computational statistics and machine learning Handbook of Big Data also identifies areas in need of further development, encouraging greater communication and collaboration between researchers in big data sub-specialties such as genomics, computational biology, and finance.

Handbook Of Spatial Epidemiology

Author : Andrew B. Lawson
ISBN : 1482253011
Genre : Epidemiology
File Size : 89. 74 MB
Format : PDF, ePub
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Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space time variations in disease incidences. These analyses can provide important information that leads to better decision making in public health. The first part of the book addresses general issues related to epidemiology, GIS, environmental studies, clustering, and ecological analysis. The second part presents basic statistical methods used in spatial epidemiology, including fundamental likelihood principles, Bayesian methods, and testing and nonparametric approaches. With a focus on special methods, the third part describes geostatistical models, splines, quantile regression, focused clustering, mixtures, multivariate methods, and much more. The final part examines special problems and application areas, such as residential history analysis, segregation, health services research, health surveys, infectious disease, veterinary topics, and health surveillance and clustering. Spatial epidemiology, also known as disease mapping, studies the geographical or spatial distribution of health outcomes. This handbook offers a wide-ranging overview of state-of-the-art approaches to determine the relationships between health and various risk factors, empowering researchers and policy makers to tackle public health problems."

Handbook Of Spatial Statistics

Author : Alan E. Gelfand
ISBN : 1420072889
Genre : Mathematics
File Size : 37. 22 MB
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Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters. The handbook begins with a historical introduction detailing the evolution of the field. It then focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and spatial point patterns. The book also contains a section on space–time work as well as a section on important topics that build upon earlier chapters. By collecting the major work in the field in one source, along with including an extensive bibliography, this handbook will assist future research efforts. It deftly balances theory and application, strongly emphasizes modeling, and introduces many real data analysis examples.

Entscheidungen Bei Ungewi Heit

Author : Ralf Diedrich
ISBN : 9783642524240
Genre : Business & Economics
File Size : 33. 69 MB
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Neuere Entwicklungen der Entscheidungstheorie, die in der deutschsprachigen Literatur bislang noch kaum Beachtung fanden, sind Gegenstand dieses Buchs. Es geht um Alternativen zur subjektiven Erwartungsnutzentheorie, die der Erfassung intransitiver Präferenzen und der Berücksichtigung von Ergebnisplausibilitäten, Ambiguität, potentieller Enttäuschung und potentiellem Bedauern dienen. Im Mittelpunkt steht ein axiomatischer Ansatz, der die Entwicklung leicht verständlicher Axiomensysteme und die Lösung einiger bislang noch ungelöster Axiomatisierungsprobleme erlaubt. Die ausführlich dargestellten Beweise sind in Anhänge zu den einzelnen Kapiteln ausgelagert.

Programmieren Mit R

Author : Uwe Ligges
ISBN : 9783540799986
Genre : Computers
File Size : 64. 37 MB
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R ist eine objektorientierte und interpretierte Sprache und Programmierumgebung für Datenanalyse und Grafik. Ausführlich führt der Autor in die Grundlagen ein und vermittelt eingängig die Struktur der Sprache. So ermöglicht er Lesern den leichten Einstieg: eigene Methoden umsetzen, Objektklassen definieren und Pakete aus Funktionen und zugehöriger Dokumentation zusammenstellen. Detailliert beschreibt er die enormen Grafikfähigkeiten von R. Für alle, die R als flexibles Werkzeug zur Datenanalyse und -visualisierung einsetzen. In 2. Auflage mit vielen Verbesserungen und Neuerungen von R-2.3.x und weiteren von Lesern gewünschten Ergänzungen.

Journal Of The American Statistical Association

Author :
ISBN : UOM:39015072623922
Genre : Statistics
File Size : 27. 14 MB
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