XploRe: An Interactive Statistical Computing Environment
Title | XploRe: An Interactive Statistical Computing Environment PDF eBook |
Author | Wolfgang Härdle |
Publisher | Springer Science & Business Media |
Pages | 406 |
Release | 2012-12-06 |
Genre | Mathematics |
ISBN | 1461242142 |
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 environ ment for user-written macros; it offers hard-wired smoothing procedures for effective high-dimensional data analysis. Its highly dynamic graphic capa 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 fit 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 read ers with access to other systems can, without major difficulty, reproduce the examples presented here and use them as a basis for further investigation.
XploRe
Title | XploRe PDF eBook |
Author | |
Publisher | |
Pages | 0 |
Release | 2000 |
Genre | |
ISBN |
XploRe — Learning Guide
Title | XploRe — Learning Guide PDF eBook |
Author | W. Härdle |
Publisher | Springer Science & Business Media |
Pages | 518 |
Release | 2012-12-06 |
Genre | Computers |
ISBN | 3642602320 |
It is generally accepted that training in statistics must include some exposure to the mechanics of computational statistics. This learning guide is intended for beginners in computer-aided statistical data analysis. The prerequisites for XploRe - the statistical computing environment - are an introductory course in statistics or mathematics. The reader of this book should be familiar with basic elements of matrix algebra and the use of HTML browsers. This guide is designed to help students to XploRe their data, to learn (via data interaction) about statistical methods and to disseminate their findings via the HTML outlet. The XploRe APSS (Auto Pilot Support System) is a powerful tool for finding the appropriate statistical technique (quantlet) for the data under analysis. Homogeneous quantlets are combined in XploRe into quantlibs. The XploRe language is intuitive and users with prior experience of other sta tistical programs will find it easy to reproduce the examples explained in this guide. The quantlets in this guide are available on the CD-ROM as well as on the Internet. The statistical operations that the student is guided into range from basic one-dimensional data analysis to more complicated tasks such as time series analysis, multivariate graphics construction, microeconometrics, panel data analysis, etc. The guide starts with a simple data analysis of pullover sales data, then in troduces graphics. The graphics are interactive and cover a wide range of dis plays of statistical data.
XploRe® - Application Guide
Title | XploRe® - Application Guide PDF eBook |
Author | W. Härdle |
Publisher | Springer |
Pages | 525 |
Release | 2014-03-12 |
Genre | Business & Economics |
ISBN | 9783642572937 |
This book offers a detailed application guide to XploRe - an interactive statistical computing environment. As a guide it contains case studies of real data analysis situations. It helps the beginner in statistical data analysis to learn how XploRe works in real life applications. Many examples from practice are discussed and analysed in full length. Great emphasis is put on a graphic based understanding of the data interrelations. The case studies include: Survival modelling with Cox's proportional hazard regression, Vitamin C data analysis with Quantile Regression, and many others.
Clustering Techniques in the Interactive Statistical Computing Environment XploRe
Title | Clustering Techniques in the Interactive Statistical Computing Environment XploRe PDF eBook |
Author | Hans-Joachim Mucha |
Publisher | |
Pages | 24 |
Release | 1993 |
Genre | |
ISBN |
Modern Applied Statistics with S
Title | Modern Applied Statistics with S PDF eBook |
Author | W.N. Venables |
Publisher | Springer Science & Business Media |
Pages | 501 |
Release | 2013-03-09 |
Genre | Mathematics |
ISBN | 0387217061 |
A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.
Software for Data Analysis
Title | Software for Data Analysis PDF eBook |
Author | John Chambers |
Publisher | Springer Science & Business Media |
Pages | 515 |
Release | 2008-06-14 |
Genre | Computers |
ISBN | 0387759360 |
John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. This is the only advanced programming book on R, written by the author of the S language from which R evolved.