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Applied Multivariate Statistical Analysis

Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields. All of the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features: A new chapter on Variable Selection (Lasso, SCAD and Elastic Net) All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de. The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.

The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features: A new chapter on Variable Selection (Lasso, SCAD and Elastic Net) All exercises are supplemented by R and MATLAB code that can ...

Multivariate Reduced-Rank Regression

Theory and Applications

In the area of multivariate analysis, there are two broad themes that have emerged over time. The analysis typically involves exploring the variations in a set of interrelated variables or investigating the simultaneous relation ships between two or more sets of variables. In either case, the themes involve explicit modeling of the relationships or dimension-reduction of the sets of variables. The multivariate regression methodology and its variants are the preferred tools for the parametric modeling and descriptive tools such as principal components or canonical correlations are the tools used for addressing the dimension-reduction issues. Both act as complementary to each other and data analysts typically want to make use of these tools for a thorough analysis of multivariate data. A technique that combines the two broad themes in a natural fashion is the method of reduced-rank regres sion. This method starts with the classical multivariate regression model framework but recognizes the possibility for the reduction in the number of parameters through a restrietion on the rank of the regression coefficient matrix. This feature is attractive because regression methods, whether they are in the context of a single response variable or in the context of several response variables, are popular statistical tools. The technique of reduced rank regression and its encompassing features are the primary focus of this book. The book develops the method of reduced-rank regression starting from the classical multivariate linear regression model.

The technique of reduced rank regression and its encompassing features are the primary focus of this book. The book develops the method of reduced-rank regression starting from the classical multivariate linear regression model.

The Multivariate Normal Distribution

The multivariate normal distribution has played a predominant role in the historical development of statistical theory, and has made its appearance in various areas of applications. Although many of the results concerning the multivariate normal distribution are classical, there are important new results which have been reported recently in the literature but cannot be found in most books on multivariate analysis. These results are often obtained by showing that the multivariate normal density function belongs to certain large families of density functions. Thus, useful properties of such families immedi ately hold for the multivariate normal distribution. This book attempts to provide a comprehensive and coherent treatment of the classical and new results related to the multivariate normal distribution. The material is organized in a unified modern approach, and the main themes are dependence, probability inequalities, and their roles in theory and applica tions. Some general properties of a multivariate normal density function are discussed, and results that follow from these properties are reviewed exten sively. The coverage is, to some extent, a matter of taste and is not intended to be exhaustive, thus more attention is focused on a systematic presentation of results rather than on a complete listing of them.

This book attempts to provide a comprehensive and coherent treatment of the classical and new results related to the multivariate normal distribution.

Modern Multivariate Statistical Techniques

Regression, Classification, and Manifold Learning

This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.

This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data.

Statistical Tables for Multivariate Analysis

A Handbook with References to Applications

An English translation of my "Statistisahe Tafeln zur multivariaten Analysis - Ein Handbuah mit Hinweisen zur Anwendung" was planned already in 1975 when I prepared the German volume. The tables were immediately supplied with German and English headings for the inten ded photo-offset printing. In the meantime. new and important tables for multivariate statistiaal hypotheses and proaedures have been aompiled and published. Only four of them have been inaorporated in the present volume. The seleation of these tables must be on an individual basis for reasons of spaae. Let me mention only the new tables for sample size determination in MANOVA. The instruations for using the tables are all organized in the same way. They are kept short sinae it is not the task of suah a work to provide an introduation to the theory and praatiae of multivariate analysis. I have renounaed giving examples for the same reason. I wish instead to refer the reader to the many good textbooks that are avai lable. as well as to my own works on methods that are in preparation. Furthermore. I am of the opinion that statistiaal tables should aaaom pany the textbook rather than be inaluded in it. vii viii Finally, my thanks go to the translator, Mr. Peter R. Wadsack, as ~ell as to the ladies and gentlemen of Springer-Verlag for their pleasant collaboration and their indulgence of my numerous requests.

An English translation of my "Statistisahe Tafeln zur multivariaten Analysis - Ein Handbuah mit Hinweisen zur Anwendung" was planned already in 1975 when I prepared the German volume.

Analysis of Multivariate Survival Data

Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariate times. As the field is rather new, the concepts and the possible types of data are described in detail. Four different approaches to the analysis of such data are presented from an applied point of view.

This book extends the field by allowing for multivariate times. As the field is rather new, the concepts and the possible types of data are described in detail.

Statistik-Praktikum mit Excel

Grundlegende quantitative Analysen realistischer Wirtschaftsdaten mit vollständigen Lösungen

Mit praxisorientierten Beispielen führt Sie dieses Buch in die Analyse statistischer Daten mit Excel ein. Anhand typischer Wirtschaftsthemen erlernen Sie alles, was man braucht, um eigene statistische Analysen kompetent und erfolgreich durchführen zu können. Mit den EXCEL-Musterlösungen auf der beiliegenden CD können die Rechenansätze und -gänge der Einführungsaufgaben leicht nachvollzogen werden und selbst erstellte Lösungen der Übungsaufgaben überprüft werden.

Hauptsachgebiete Den Hauptzwecken lassen sich wesentliche Sachgebiete der
Statistik als Methodenwissenschaft grob zuordnen. Dabei wird die
beschreibende Statistik in der Fachsprache üblicherweise auch als deskriptiv
und die ...

Statistik-Praktikum mit Excel

Grundlegende quantitative Analysen realistischer Wirtschaftsdaten mit Excel 2013

An typischen und realitätsnahen Beispielen aus der Wirtschaftspraxis zeigt dieses „Statistik-Praktikum“, wie man grundlegende statistische Analysen mit einem gängigen Werkzeug unterstützt. Dies mit dem Ziel, aus den zu dem Thema verfügbaren Daten Informationen zu gewinnen, die im Sach- bzw. Entscheidungszusammenhang sinn- und wertvoll sind. Dabei ist der numerische Veredelungsprozess durch statistische Analysen in der Praxis nur der Kern eines umfangreicheren Transferprozesses, der ergänzend noch Übersetzungen, Interpretationen und Bewertungen erfordert. Das Statistik-Praktikum deckt systematisch und schrittweise stets den vollständigen Transferprozess ab, beginnend mit der „Übersetzung“ des Business-Falls in statistische Aufgabenstellungen bis hin zur abschließenden Würdigung der verwendeten Ansätze und Ergebnisse. So lernt man, statistische Analysen selbständig und erfolgreich durchzuführen sowie Ansätze und Ergebnisse kompetent zu vertreten. Microsoft Excel wird dabei als Werkzeug genutzt, jedoch nicht exzessiv in seinen Funktionalitäten ausgereizt. Die zweite Auflage wurde überarbeitet und ergänzt. Die Themengebiete „Konzentrationsanalysen“ und „Finanzstatistik“ wurden neu aufgenommen. Alle Inhalte wurden für Excel 2013 aktualisiert.

Statistische Methodenlehre Bamberg, G.; Baur, F.; Krapp, M.: Statistik, 15.
Auflage, Oldenbourg, 2009. Bleymüller, J.; Gehlert, G.; Gülicher, H.: Statistik für
Wirtschaftswissenschaftler, 14. Auflage, Vahlen, 2004. Fahrmeir, L.; Künstler, R.;
Pigeot, ...

Sozialärztliches Praktikum

Ein Leitfaden für Verwaltungsmediziner, Kreiskommunalärzte, Schulärzte Säuglingsärzte, Armen- und Kassenärzte

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind. Der Verlag stellt mit diesem Archiv Quellen für die historische wie auch die disziplingeschichtliche Forschung zur Verfügung, die jeweils im historischen Kontext betrachtet werden müssen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ideologischen Ausrichtung vom Verlag nicht beworben.

Von wichtigsten Quellenwerken seien hier genannt: Statistik des Deutschen
Reichs, die Statistik der einzelnen Bundesstaaten, die Veröffentlichungen des
Reichsgesundheitsamts, das „Gesundheitswesen des preußischen Staates“, das
 ...