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AuthorHรคrdle, Wolfgang. author
TitleXploRe: An Interactive Statistical Computing Environment [electronic resource] / by Wolfgang Hรคrdle, Sigbert Klinke, Berwin A. Turlach
ImprintNew York, NY : Springer New York, 1995
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Descript XXXII, 387 p. online resource


This book describes an interactive statistical computing environment called 1 XploRe. As the name suggests, support for exploratory statistical analysis is given by a variety of computational tools. 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 environยญ ment for user-written macros; it offers hard-wired smoothing procedures for effective high-dimensional data analysis. Its highly dynamic graphic capaยญ bilities make it possible to construct student-level front ends for teaching basic elements of statistics. Hot keys make it an easy-to-use computing environment for statistical analysis. The primary objective of this book is to show how the XploRe system can be used as an effective computing environment for a large number of statistical tasks. The computing tasks we consider range from basic data matrix manipulations to interactive customizing of graphs and dynamic fitยญ ting of high-dimensional statistical models. The XploRe language is similar to other statistical languages and offers an interactive help system that can be extended to user-written algorithms. The language is intuitive and readยญ ers with access to other systems can, without major difficulty, reproduce the examples presented here and use them as a basis for further investigation


I A Beginnerโ{128}{153}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

Mathematics Probabilities Mathematics Probability Theory and Stochastic Processes


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