Xplore An Interactive Statistical Computing Environment PDF Download
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Author | : Wolfgang Härdle |
Publisher | : Springer Science & Business Media |
Total Pages | : 406 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461242142 |
Download XploRe: An Interactive Statistical Computing Environment Book in PDF, ePub and Kindle
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.
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Total Pages | : 0 |
Release | : 2000 |
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Download XploRe Book in PDF, ePub and Kindle
Author | : W. Härdle |
Publisher | : Springer Science & Business Media |
Total Pages | : 518 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 3642602320 |
Download XploRe — Learning Guide Book in PDF, ePub and Kindle
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.
Author | : W. Härdle |
Publisher | : Springer |
Total Pages | : 525 |
Release | : 2014-03-12 |
Genre | : Business & Economics |
ISBN | : 9783642572937 |
Download XploRe® - Application Guide Book in PDF, ePub and Kindle
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.
Author | : Hans-Joachim Mucha |
Publisher | : |
Total Pages | : 24 |
Release | : 1993 |
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Download Clustering Techniques in the Interactive Statistical Computing Environment XploRe Book in PDF, ePub and Kindle
Author | : Peter Dalgaard |
Publisher | : Springer Science & Business Media |
Total Pages | : 370 |
Release | : 2008-06-27 |
Genre | : Mathematics |
ISBN | : 0387790543 |
Download Introductory Statistics with R Book in PDF, ePub and Kindle
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
Author | : W.N. Venables |
Publisher | : Springer Science & Business Media |
Total Pages | : 501 |
Release | : 2013-03-09 |
Genre | : Mathematics |
ISBN | : 0387217061 |
Download Modern Applied Statistics with S Book in PDF, ePub and Kindle
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.
Author | : John Chambers |
Publisher | : Springer Science & Business Media |
Total Pages | : 515 |
Release | : 2008-06-14 |
Genre | : Computers |
ISBN | : 0387759360 |
Download Software for Data Analysis Book in PDF, ePub and Kindle
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.
Author | : James E. Gentle |
Publisher | : Springer Science & Business Media |
Total Pages | : 427 |
Release | : 2006-04-18 |
Genre | : Computers |
ISBN | : 0387216111 |
Download Elements of Computational Statistics Book in PDF, ePub and Kindle
Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books
Author | : W.N. Venables |
Publisher | : Springer Science & Business Media |
Total Pages | : 508 |
Release | : 2013-04-17 |
Genre | : Computers |
ISBN | : 1475731213 |
Download Modern Applied Statistics with S-PLUS Book in PDF, ePub and Kindle
This best-selling guide has been completely updated to present the newest features of S-PLUS 5.0, and includes the very latest computationally-intensive methods and techniques. In addition, extensive software libraries, data sets, and complements will be available online. "the task the authors have undertaken is challenginggetting new S/S-Plus users to quickly learn the fundamentals of the language and presenting a modern approach to data analysis through numerous examples from many areas of statistics. They succeed in this" TECHNOMETRICS