XploRe, An Interactive Statistical Computing Environment

This book describes the statistical computing environment called XploRe which is a widely available package (details on how to obtain it are provided in the book). As its name suggests, XploRe provides a highly interactive graphics interface for exploratory statistical analysis and provides for user-written macros and smoothing procedures for effective high-dimensional data analysis. The main aim of the book is to show how XploRe can be used for a wide variety of statistical tasks ranging from basic data manipulation to interactive customizing of graphs and dynamic fitting of high-dimensional statistical models. As a result, it may be used as the basis of a course in model building, computational statistics, applied multivariate analysis, and econometrics.

Über den Autor / die Autorin

Wolfgang Härdle is a professor of statistics at the Humboldt-Universität zu Berlin and director of C.A.S.E. the Centre for Applied Statistics and Economics. He teaches quantitative finance and semiparametric statistical methods. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected ISI member and advisor to the Guanghua School of Management, Peking University and to National Central University, Taiwan.

Zusammenfassung

This book describes an interactive statistical computing environment called 1 XploRe. XploRe is a matrix-oriented statistical language with a comprehensive set of basic statistical operations that provides highly interactive graphics, as well as a programming environ ment for user-written macros;

Produktdetails

• Autoren: Berwin Turlach, Wolfgang Härdle, Berwin A. Turlach, Sigbert Klinke
• Verlag: Springer, Berlin
• Inhalt: Buch
• Produktform: Fester Einband
• Erscheinungsdatum: 01.01.1995
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematis
• EAN: 9780387944296
• ISBN: 978-0-387-94429-6
• Anzahl Seiten: 387
• Illustration: XXXII, 387 pp. 143 figs., 32 in color
• Höhe (Verpackung): 23.5 cm
• Gewicht (Verpackung): 800 g
• Serie: Statistics and Computing; Statistics and Computing
• Themen: Wahrscheinlichkeitsrechnung und Statistik, Fitting, Boxplot, dataanalysis, timeseries, clusteranalysis, bestfit, GeneralizedlinearModel, Projectionpursuit