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.
I A Beginner’s Course.- 1 Un Amuse-Gueule.- 2 An XploRe Tutorial.- 3 The Integrated Working Environment.- II XploRe in Use.- 4 Graphical Aids for Statistical Data Analysis.- 5 Density and Regression Smoothing.- 6 Bandwidth Selection in Density Estimation.- 7 Interactive Graphics for Teaching Simple Statistics.- 8 XClust: Clustering in an Interactive Way.- 9 Exploratory Projection Pursuit.- 10 Generalized Linear Models.- 11 Additive Modeling.- 12 Comparing Parametric and Semiparametric Binary Response Models.- 13 Approximative Methods for Regression Models with Errors in Covariates.- 14 Nonlinear Time Series Analysis.- 15 Un Digestif.- A Questions to XploRe.- B Language Reference.- B.1 Operators.- B.2 Flow Control.- B.3 Commands.- References.- Author Index.
Wolfgang Härdle, Wolfgang Härdle, Wolfgang (Rheinische Friedrich-Wilhelms-Universitat Bonn) Hardle, Wolfgang Hardle, Hardle Wolfgang, Wolfgang H. Rdle
Wolfgang Härdle, Wolfgang Härdle, Wolfgang (Rheinische Friedrich-Wilhelms-Universitat Bonn) Hardle, Wolfgang Hardle, Hardle Wolfgang, Wolfgang H. Rdle