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XploRe® — Application Guide

  • Wolfgang Härdle
  • Zděnk Hlávka
  • Sigbert Klinke

Table of contents

  1. Front Matter
    Pages i-15
  2. Regression Models

    1. Front Matter
      Pages 17-17
    2. Pavel Čížek
      Pages 19-48
    3. Pavel Čížek, Jan Ámos Víšek
      Pages 49-63
    4. Hua Liang
      Pages 65-95
    5. Axel Werwatz, Christian Müller
      Pages 97-114
    6. Birgit Grund, Lijian Yang
      Pages 115-144
    7. Marlene Müller
      Pages 145-170
    8. Stefan Sperlich, Jiří Zelinka
      Pages 171-220
  3. Data Exploration

    1. Front Matter
      Pages 221-221
    2. Hans-Joachim Mucha, Hizir Sofyan
      Pages 239-279
    3. Jussi Klemelä, Sigbert Klinke, Hizir Sofyan
      Pages 281-304
    4. Frank Geppert, Hans Gerhard Strohe
      Pages 305-322
    5. Jörg Breitung, Ralf Brüggemann
      Pages 323-337
    6. Michal Benko, Michel Lejeune
      Pages 339-358
  4. Dynamic Statistical Systems

    1. Front Matter
      Pages 359-359
    2. Gilles Teyssiere
      Pages 361-376
    3. Wolfgang Härdle, Rolf Tschernig
      Pages 397-457
    4. Alexander Benkwitz
      Pages 459-482
    5. Peter Ruckdeschel
      Pages 483-516
  5. Back Matter
    Pages 517-525

About this book

Introduction

Most statistical applications involve computational work with data stored on a computer. The mechanics of interaction with the data is a function of the sta­ tistical computing environment. This application guide is intended for slightly experienced statisticians in computer-aided data analysis who desire to learn advanced applications in various fields of statistics. The prerequisities for XploRe-the statistic computing environment-are an introductory course in statistics or mathematics. This book is designed as an e-book which means that the text contained in here is also available as an integrated document in HTML and PDF format. The reader of this application guide should therefore be familiar with the basics of Acrobat Reader and of HTML browsers in order to profit from direct computing possibilities within this document. The quantlets presented here may be used together with the academic edi­ tion of XploRe (http://www.i-xplore.de) or via the XploRe Quantlet Client (XQC) on http://www.xplore-stat.de. The book comes together with a CD­ Rom that contains the XploRe Quantlet Server (XQS) and the full Auto Pilot Support System (APSS). With this e-book bundle one may directly try the application without being dependent on a specific software version. The quantlets described in the book can be accessed via the links included All executable quantlets are denoted by the symbol . Some in the text.

Keywords

Finance Statistical Computing Statistical Programs Statistics Time series XploRe calculus cluster analysis data analysis linear optimization modeling

Authors and affiliations

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

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-57292-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-67545-7
  • Online ISBN 978-3-642-57292-0
  • Buy this book on publisher's site