XploRe — Learning Guide

  • Wolfgang Härdle
  • Sigbert Klinke
  • Marlene Müller

Table of contents

  1. Front Matter
    Pages i-18
  2. First Steps

    1. Front Matter
      Pages 19-19
    2. Wolfgang Härdle, Sigbert Klinke, Marlene Müller
      Pages 21-41
    3. Marlene Müller
      Pages 43-68
    4. Sigbert Klinke
      Pages 69-127
    5. Jörg Aßmus
      Pages 129-146
    6. Nathaniel Derby
      Pages 147-165
  3. Statistical Libraries

    1. Front Matter
      Pages 167-167
    2. Marlene Müller
      Pages 169-204
    3. Marlene Müller
      Pages 205-228
    4. Wolfgang Härdle, Heiko Lehmann
      Pages 229-246
    5. Petr Franěk, Wolfgang Härdle
      Pages 247-271
    6. Petr Franěk
      Pages 273-284
    7. Stefan Sperlich, Wolfgang Härdle
      Pages 285-306
    8. Jörg Breitung, Axel Werwatz
      Pages 307-351
    9. Rolf-Dieter Reiss, Michael Thomas
      Pages 353-374
    10. Yuri Golubev, Wolfgang Härdle, Zdeněk Hlávka, Sigbert Klinke, Michael H. Neumann, Stefan Sperlich
      Pages 375-408
  4. Programming

    1. Front Matter
      Pages 409-409
    2. Sigbert Klinke, Jürgen Symanzik, Marlene Müller
      Pages 411-427
    3. Yasemin Boztug, Marlene Müller
      Pages 429-463
    4. Wolfgang Härdle, Zdeněk Hlávka, Sigbert Klinke
      Pages 465-501
  5. Back Matter
    Pages 503-526

About this book


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.


STATISTICA Statistical Computing Statistical Programs XploRe data analysis

Authors and affiliations

  • Wolfgang Härdle
    • 1
  • Sigbert Klinke
    • 1
  • Marlene Müller
    • 1
  1. 1.Institut für Statistik und ÖkonometrieHumboldt-Universität zu BerlinBerlinGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66207-5
  • Online ISBN 978-3-642-60232-0
  • Buy this book on publisher's site
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