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XploRe® - Application Guide

  • Book
  • © 2000

Overview

Authors:
  1. Wolfgang Härdle

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

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  2. Zděnk Hlávka

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

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  3. Sigbert Klinke

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

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  • Indispensable companion for all advanced XploRe users

  • Designed as an e-book including a CD-ROM with full interactive calculation facilites based on XploRe

  • Includes supplementary material: sn.pub/extras

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-15
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  2. Regression Models

    1. Front Matter

      Pages 17-17
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    2. Quantile Regression

      • Pavel Čížek
      Pages 19-48

    3. Least Trimmed Squares

      • Pavel Čížek, Jan Ámos Víšek
      Pages 49-63

    4. Errors-in-Variables Models

      • Hua Liang
      Pages 65-95

    5. Simultaneuos-Equations Models

      • Axel Werwatz, Christian Müller
      Pages 97-114

    6. Hazard Regression

      • Birgit Grund, Lijian Yang
      Pages 115-144

    7. Generalized Partial Linear Models

      • Marlene Müller
      Pages 145-170

    8. Generalized Additive Models

      • Stefan Sperlich, Jiří Zelinka
      Pages 171-220

  3. Data Exploration

    1. Front Matter

      Pages 221-221
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    2. Growth Regression and Counterfactual Income Dynamics

      • Alain Desdoigts
      Pages 223-238

    3. Cluster Analysis

      • Hans-Joachim Mucha, Hizir Sofyan
      Pages 239-279

    4. Classification and Regression Trees

      • Jussi Klemelä, Sigbert Klinke, Hizir Sofyan
      Pages 281-304

    5. DPLS—Partial Least Squares Program for Dynamic Path Models

      • Frank Geppert, Hans Gerhard Strohe
      Pages 305-322

    6. Uncovered Interest Parity What can we learn from panel data?

      • Jörg Breitung, Ralf Brüggemann
      Pages 323-337

    7. Correspondence Analysis

      • Michal Benko, Michel Lejeune
      Pages 339-358

  4. Dynamic Statistical Systems

    1. Front Matter

      Pages 359-359
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    2. Long-Memory Analysis

      • Gilles Teyssiere
      Pages 361-376

    3. ExploRing Persistence in Financial Time Series

      • David Lee
      Pages 377-396

    4. Flexible Time Series Analysis

      • Wolfgang Härdle, Rolf Tschernig
      Pages 397-457
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Keywords

About this book

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.

Authors and Affiliations

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

    Wolfgang Härdle, Zděnk Hlávka, Sigbert Klinke

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