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Spatial Analysis Along Networks

Author: Atsuyuki Okabe
Publisher: John Wiley & Sons
ISBN: 1119967767
Size: 24.98 MB
Format: PDF, ePub
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In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with a range of specific techniques. Spatial Analysis Along Networks provides a practical guide to the necessary statistical techniques and their computational implementation. Each chapter illustrates a specific technique, from Stochastic Point Processes on a Network and Network Voronoi Diagrams, to Network K-function and Point Density Estimation Methods, and the Network Huff Model. The authors also discuss and illustrate the undertaking of the statistical tests described in a Geographical Information System (GIS) environment as well as demonstrating the user-friendly free software package SANET. Spatial Analysis Along Networks: Presents a much-needed practical guide to statistical spatial analysis of events on and alongside a network, in a logical, user-friendly order. Introduces the preliminary methods involved, before detailing the advanced, computational methods, enabling the readers a complete understanding of the advanced topics. Dedicates a separate chapter to each of the major techniques involved. Demonstrates the practicalities of undertaking the tests described in the book, using a GIS. Is supported by a supplementary website, providing readers with a link to the free software package SANET, so they can execute the statistical methods described in the book. Students and researchers studying spatial statistics, spatial analysis, geography, GIS, OR, traffic accident analysis, criminology, retail marketing, facility management and ecology will benefit from this book.

Spatial And Temporal Databases

Author: Mario A. Nascimento
Publisher: Springer
ISBN: 3642402356
Size: 23.78 MB
Format: PDF, ePub, Mobi
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This book constitutes the refereed proceedings of the 13th International Symposium on Spatial and Temporal Databases, SSTD 2013, held in Munich, Germany, in August 2013. The 24 revised full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on joins and algorithms; mining and discovery; indexing; trajectories and road network data; nearest neighbours queries; uncertainty; and demonstrations.

Applied Mixed Models In Medicine

Author: Helen Brown
Publisher: John Wiley & Sons
ISBN: 1118778243
Size: 32.59 MB
Format: PDF
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A fully updated edition of this key text on mixed models,focusing on applications in medical research The application of mixed models is an increasingly popular wayof analysing medical data, particularly in the pharmaceuticalindustry. A mixed model allows the incorporation of both fixed andrandom variables within a statistical analysis, enabling efficientinferences and more information to be gained from the data. Therehave been many recent advances in mixed modelling, particularlyregarding the software and applications. This third edition ofBrown and Prescott’s groundbreaking text provides an updateon the latest developments, and includes guidance on the use ofcurrent SAS techniques across a wide range of applications. Presents an overview of the theory and applications of mixedmodels in medical research, including the latest developments andnew sections on incomplete block designs and the analysis ofbilateral data. Easily accessible to practitioners in any area where mixedmodels are used, including medical statisticians andeconomists. Includes numerous examples using real data from medical andhealth research, and epidemiology, illustrated with SAS code andoutput. Features the new version of SAS, including new graphics formodel diagnostics and the procedure PROC MCMC. Supported by a website featuring computer code, data sets, andfurther material. This third edition will appeal to applied statisticians workingin medical research and the pharmaceutical industry, as well asteachers and students of statistics courses in mixed models. Thebook will also be of great value to a broad range of scientists,particularly those working in the medical and pharmaceuticalareas.

Statistical Methods For Evaluating Safety In Medical Product Development

Author: A. Lawrence Gould
Publisher: John Wiley & Sons
ISBN: 1118763106
Size: 73.51 MB
Format: PDF
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This book gives professionals in clinical research valuable information on the challenging issues of the design, execution, and management of clinical trials, and how to resolve these issues effectively. It also provides understanding and practical guidance on the application of contemporary statistical methods to contemporary issues in safety evaluation during medical product development. Each chapter provides sufficient detail to the reader to undertake the design and analysis of experiments at various stages of product development, including comprehensive references to the relevant literature. Provides a guide to statistical methods and application in medical product development Assists readers in undertaking design and analysis of experiments at various stages of product development Features case studies throughout the book, as well as, SAS and R code

Spatio Temporal Design

Author: Jorge Mateu
Publisher: John Wiley & Sons
ISBN: 1118441885
Size: 73.16 MB
Format: PDF, Docs
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A state-of-the-art presentation of optimum spatio-temporalsampling design - bridging classic ideas with modern statisticalmodeling concepts and the latest computational methods. Spatio-temporal Design presents a comprehensivestate-of-the-art presentation combining both classical and moderntreatments of network design and planning for spatial andspatio-temporal data acquisition. A common problem set isinterwoven throughout the chapters, providing various perspectivesto illustrate a complete insight to the problem at hand. Motivated by the high demand for statistical analysis of datathat takes spatial and spatio-temporal information into account,this book incorporates ideas from the areas of time series, spatialstatistics and stochastic processes, and combines them to discussoptimum spatio-temporal sampling design. Spatio-temporal Design: Advances in Efficient DataAcquisition: Provides an up-to-date account of how to collect space-timedata for monitoring, with a focus on statistical aspects and thelatest computational methods Discusses basic methods and distinguishes between design andmodel-based approaches to collecting space-time data. Features model-based frequentist design for univariate andmultivariate geostatistics, and second-phase spatial sampling. Integrates common data examples and case studies throughout thebook in order to demonstrate the different approaches and theirintegration. Includes real data sets, data generating mechanisms andsimulation scenarios. Accompanied by a supporting website featuring R code. Spatio-temporal Design presents an excellent book forgraduate level students as well as a valuable reference forresearchers and practitioners in the fields of applied mathematics,engineering, and the environmental and health sciences.

Advances In Complex Data Modeling And Computational Methods In Statistics

Author: Anna Maria Paganoni
Publisher: Springer
ISBN: 3319111493
Size: 56.41 MB
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The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new developments for bootstrapping complex data; regression analysis for measuring the downsize reputational risk; statistical methods for research on the human genome dynamics; inference in non-euclidean settings and for shape data; Bayesian methods for reliability and the analysis of complex data; methodological issues in using administrative data for clinical and epidemiological research; regression models with differential regularization; geostatistical methods for mobility analysis through mobile phone data exploration. This volume is the result of a careful selection among the contributions presented at the conference "S.Co.2013: Complex data modeling and computationally intensive methods for estimation and prediction" held at the Politecnico di Milano, 2013. All the papers published here have been rigorously peer-reviewed.

Angewandte Statistik

Author: Jürgen Hedderich
Publisher: Springer-Verlag
ISBN: 3662566575
Size: 14.48 MB
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Dieses Standardwerk für statistische Methoden in den Biowissenschaften und der Medizin stellt leicht verständlich, anschaulich und praxisnah sowohl Studenten und Dozenten als auch Praktikern alle notwendigen Methoden zur gezielten und umsichtigen Datengewinnung, -analyse und -beurteilung zur Verfügung. Neben Hinweisen und Empfehlungen zur Planung und Auswertung von Studien ermöglichen zahlreiche Beispiele, Querverweise, weiterführende Hinweise sowie ein ausführliches Sachverzeichnis einen breit gefächerten Zugang zur Statistik. Neu in der 16. Auflage sind neben zahlreichen Präzisierungen und vertiefenden Ergänzungen zwei größere Abschnitte. Einmal werden Hinweise auf die Anwendung weiterer spezieller Verteilungsmodelle, wie die halbe Normalverteilung, die gestutzte Normalverteilung und die Extremwertverteilung gegeben. Des Weiteren sind nun auch parametrische Überlebenszeitmodelle (exponentielles, Weibull- und loglogistisches Modell) an Beispieldaten vergleichend dargestellt. Ein neues Verzeichnis der zahlreichen Anwendungsbeispiele erleichtert dem neugierigen Anwender und Praktiker den Einstieg in die Methodenvielfalt der Statistik. Das frei verfügbare Programm R ist ein leicht erlernbares und flexibel einzusetzendes Werkzeug, mit dem der Prozess der Datenanalyse verstanden und gestaltet werden kann. Die Anwendung und der Nutzen des R-Programms werden in diesem Buch anhand zahlreicher Beispiele veranschaulicht. Das Buch dient zum Lernen, Nachschlagen und Anwenden bei unterschiedlichen Vorkenntnissen und breit gestreuten Interessen und richtet sich somit an jeden, der an der Auswertung korrekt gewonnener Daten interessiert ist – insbesondere Biologen, Mediziner, Ingenieure und weitere Naturwissenschaftler – sowohl in der Hochschule als auch in der Praxis.

Case Studies In Bayesian Statistical Modelling And Analysis

Author: Clair L. Alston
Publisher: John Wiley & Sons
ISBN: 1118394321
Size: 35.75 MB
Format: PDF, Kindle
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Provides an accessible foundation to Bayesian analysis usingreal world models This book aims to present an introduction to Bayesian modellingand computation, by considering real case studies drawn fromdiverse fields spanning ecology, health, genetics and finance. Eachchapter comprises a description of the problem, the correspondingmodel, the computational method, results and inferences as well asthe issues that arise in the implementation of theseapproaches. Case Studies in Bayesian Statistical Modelling andAnalysis: Illustrates how to do Bayesian analysis in a clear and concisemanner using real-world problems. Each chapter focuses on a real-world problem and describes theway in which the problem may be analysed using Bayesianmethods. Features approaches that can be used in a wide area ofapplication, such as, health, the environment, genetics,information science, medicine, biology, industry and remotesensing. Case Studies in Bayesian Statistical Modelling andAnalysis is aimed at statisticians, researchers andpractitioners who have some expertise in statistical modelling andanalysis, and some understanding of the basics of Bayesianstatistics, but little experience in its application. Graduatestudents of statistics and biostatistics will also find this bookbeneficial.

Computational Social Network Analysis

Author: Kai Subel
Publisher: GRIN Verlag
ISBN: 3640733061
Size: 74.93 MB
Format: PDF, ePub, Mobi
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Studienarbeit aus dem Jahr 2010 im Fachbereich Informatik - Internet, neue Technologien, Universität Hamburg, Sprache: Deutsch, Abstract: Diese Ausarbeitung befasst sich mit dem Thema Computational Soical Network Analysis. Ziel ist es, dem Leser einen Einblick in diese Thematik zu verschaffen. Dabei werden Hintergründe, anwendbare Methoden und Tools vorgestellt, die hierbei Verwendung finden. Zunächst wird dabei näher auf den Hintergrund, also warum dieses Gebiet als Forschungsgegenstand so interessant ist, eingegangen. Anschließend werden verschiedene Aspekte, die man im Rahmen der Analyse sozialer Netzwerke untersuchen kann benannt. In diesem Zusammenhang werden auch zwei verschiedene Kategorien zur formalen Analyse benannt. Zur Verdeutlichung wird die Verwendung dieser am Ende des Kapitels auch noch einmal anhand eines Praxisbeispiels gezeigt. Das nächste Kapitel befasst sich mit der Fragstellung, wie Schlüsselfiguren in Netzwerken ermittelt werden können und was für Rollen diese spielen. Dabei werden auch die verschiedenen Arten von Schlüsselfiguren benannt. Eine weitere zentrale Rolle in der Analyse sozialer Netzwerke nehmen Gruppen ein. Die Bedeutung von Gruppen und wie man sie ermitteln kann wird im nächsten Kapitel erläutert. Aufbauend auf den Gruppen sollen Interaktionen innerhalb von Netzwerken untersucht werden. Hierfür werden zunächst die nötigen Werkzeuge, wie die SCAN oder DISSECT Methode vorgestellt und anschließend die Einsatzgebiete anhand von Beispielen verdeutlicht. Im 7. Kapitel wird eine eLearning Plattform näher betrachtet. Hierbei werden zunächst die Eigenschaften und Besonderheiten von eLearning Plattformen beschrieben und anschießend anhand eines Praxisbeispiels verschiedene Methoden zur Analyse sozialer Netzwerke angewendet.