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Published **December 10, 1999**
by Springer .

Written in English

- Data capture & analysis,
- Economic theory & philosophy,
- Mathematical foundations,
- Object-oriented programming (OOP),
- Probability & statistics,
- Mathematics,
- Software - Productivity - CDROM / PC,
- Science/Mathematics,
- General,
- Mathematical & Statistical Software,
- Programming - Object Oriented Programming,
- Probability & Statistics - General

The Physical Object | |
---|---|

Format | CD-ROM |

Number of Pages | 208 |

ID Numbers | |

Open Library | OL12771960M |

ISBN 10 | 3540147675 |

ISBN 10 | 9783540147671 |

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. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. 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. Härdle, W., Klinke, S., Müller, M. (): "XploRe - The Interactive Statistical Computing Environment", CD-ROM, Academic Edition / Windows Version, Springer. The first book is based on a previous version of XploRe. While the syntax of many commands has changed, this book still provides a very good overview on the overall functionality of XploRe.

Xplore-Learning Guide: The Interactive Statistical Computing Environment: Academic Edition Product Description: XploRe is a combination of classical and modern statistical procedures with sophisticated, interactive graphics. 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/5(3). The main feature of our approach is the possibility to connect various client programs via a TCP/IP connection to a powerful statistical engine. This offers the opportunity to include the statistical engine into a number of software packages and to empower the user of these packages to access a modern statistical programming by: XploRe - Learning guide, by W. Hardle, S. Klinke and M. Muller. Pp. ? ISBN 3 3 (Springer). In the words of its own introduction, 'XploRe is a computational environment for data analysis and statistics. It provides a powerful set of statistical methods and .

XploRe — Learning Guide Author: Härdle Publisher: Härdle © ISBN: 1 Concurrent User; XploRe: An Interactive Statistical Computing Environment Author: Härdle Publisher: Härdle © ISBN: Jürgen Symanzik: Publications & Videos Publications: (): Visual Exploration of Satellite Images, Proceedings of the Statistical Computing Section and Section on Statistical Graphics, American I. (): An Interactive Environment for the Graphical Analysis of Spatial Data, ASA Statistical Graphics. Chair of Statistics - Sigbert Klinke XploRe - The Interactive Statistical Computing Environment, Academic Edition / Windows (Software CD), Springer Verlag, Heidelberg; Härdle W., Klinke S., Müller M. (), XploRe - Learning Guide, Springer Verlag, Heidelberg. The augmented inverse weighting method is one of the most popular methods for estimating the mean of the response in causal inference and missing data problems.

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