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Statistical Inference, Econometric Analysis and Matrix Algebra

Festschrift in Honour of Götz Trenkler

  • Bernhard Schipp
  • Walter Kräer

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Nonparametric Inference

    1. Sandra Leissen, Uwe Ligges, Markus Neuhäuser, Ludwig A. Hothorn
      Pages 41-61
    2. Björn Bornkamp, Arno Fritsch, Oliver Kuss, Katja Ickstadt
      Pages 63-76
    3. Thomas Mühlenstädt, Ursula Gather
      Pages 77-82
  3. Parametric Inference

  4. Design of Experiments and Analysis of Variance

    1. Joachim Kunert, R. J. Martin, Sabine Rothe
      Pages 115-124
    2. Kimmo Vehkalahti, Simo Puntanen, Lauri Tarkkonen
      Pages 143-160
  5. Linear Models and Applied Econometrics

    1. Walter Krämer, Christoph Hanck
      Pages 179-184
    2. Helge Toutenburg, Shalabh, Christian Heumann
      Pages 185-199
    3. Rodrigo Herrera, Bernhard Schipp
      Pages 209-231
    4. D.S.G. Pollock
      Pages 233-252
  6. Stochastic Processes

  7. Matrix Algebra and Matrix Computations

    1. Richard William Farebrother
      Pages 311-316
    2. Jürgen Groß
      Pages 325-332
    3. Hans Joachim Werner, Ingram Olkin
      Pages 359-365
  8. Special Topics

    1. Oskar Maria Baksalary, Ka Lok Chu, Simo Puntanen, George P.H. Styan
      Pages 369-394
    2. Philip Sander, Peter Stahlecker
      Pages 395-409
    3. Czesław Stępniak, Tomasz Owsiany
      Pages 411-414
  9. Back Matter
    Pages 425-434

About this book

Introduction

This unique collection of essays extends the frontiers of knowledge in econometrics as well as classical fields of statistical inference. Among others, it presents advances in stochastic processes, in the design of experiments and in the analysis of variance. Moreover, several papers on modern matrix algebra provide insights into up-to-date approaches in quantitative methods and show once more how useful a tool this is in modern mathematics-based data analysis. The book will therefore be of key interest to anybody working as a practitioner in statistical data analysis or as a researcher in modern statistical science.

Keywords

Econometrics Markov Chain Matrix Algebra Nonparametric Statistical Inference Quantitative Methods STATISTICA Statistcal Inference Stochastic Processes calculus

Editors and affiliations

  • Bernhard Schipp
    • 1
  • Walter Kräer
    • 2
  1. 1.TU Dresden Fakultät WirtschaftswissenschaftenProfessur für Quantitative Verfahren, insb. ÖkonometrieDresdenGermany
  2. 2.TU Dortmund Fakultät StatistikLehrstuhl für Wirtschaftsund SozialstatistikDortmundGermany

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