XploRe — Learning Guide

1. Front Matter

   Pages i-18

   PDF

2. First Steps

   1. Front Matter

      Pages 19-19

      PDF

   2. Getting Started

      • Wolfgang Härdle, Sigbert Klinke, Marlene Müller

      Pages 21-41

   3. Descriptive Statistics

      • Marlene Müller

      Pages 43-68

   4. Graphics

      • Sigbert Klinke

      Pages 69-127

   5. Regression Methods

      • Jörg Aßmus

      Pages 129-146

   6. Teachware Quantlets

      • Nathaniel Derby

      Pages 147-165

3. Statistical Libraries

   1. Front Matter

      Pages 167-167

      PDF

   2. Smoothing Methods

      • Marlene Müller

      Pages 169-204

   3. Generalized Linear Models

      • Marlene Müller

      Pages 205-228

   4. Neural Networks

      • Wolfgang Härdle, Heiko Lehmann

      Pages 229-246

   5. Time Series

      • Petr Franěk, Wolfgang Härdle

      Pages 247-271

   6. Kalman Filtering

      • Petr Franěk

      Pages 273-284

   7. Finance

      • Stefan Sperlich, Wolfgang Härdle

      Pages 285-306

   8. Microeconometrics and Panel Data

      • Jörg Breitung, Axel Werwatz

      Pages 307-351

   9. Extreme Value Analysis

      • Rolf-Dieter Reiss, Michael Thomas

      Pages 353-374

   10. Wavelets

       • Yuri Golubev, Wolfgang Härdle, Zdeněk Hlávka, Sigbert Klinke, Michael H. Neumann, Stefan Sperlich

       Pages 375-408

4. Programming

   1. Front Matter

      Pages 409-409

      PDF

   2. Reading and Writing Data

      • Sigbert Klinke, Jürgen Symanzik, Marlene Müller

      Pages 411-427

   3. Matrix Handling

      • Yasemin Boztug, Marlene Müller

      Pages 429-463

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

From the reviews:

"XploRe is a statistical package with an econometric focus. … XploRe is an excellent tool for those who wish to engage in some fairly sophisticated econometric analysis. It is also an excellent environment to teach budding statisticians. … I also believe that serious researchers in the area will find the professional package to be a very useful analytic tool." (Joseph Hilbe, The American Statistician, Vol. 55 (2), May 2001)

"XploRe Learning Guide and the accompanying CD are intended for beginners in computer-aided statistical data analysis. The guide contains 17 Chapters and an Appendix." (Shibdas Bandyopadhyay, Sankhya, Vol. 64 B, Part 3, 2002)

• Institut für Statistik und Ökonometrie, Humboldt-Universität zu Berlin, Berlin, Germany

  Wolfgang Härdle, Sigbert Klinke, Marlene Müller

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