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Statistical Inference

Theory and Practice

  • Book
  • © 1991

Overview

Editors:
  1. Tadeusz Bromek

    1. Institute of Computer Science of the Polish Academy of Sciences, Poland

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    You can also search for this editor in PubMed   Google Scholar

  2. Elżbieta Pleszczyńska

    1. Institute of Computer Science of the Polish Academy of Sciences, Poland

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Theory and Decision Library B (TDLB, volume 17)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xi
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  2. Introduction

    1. Introduction

      • Tadeusz Bromek, Elżbieta Pleszczyńska
      Pages 1-10

  3. Formalization of statistical problems

    1. Statistical Description of Empirical Phenomena

      • Tadeusz Bromek, Elżbieta Pleszczyńska
      Pages 11-25

    2. A scheme of a statistical problems

      • Tadeusz Bromek, Elżbieta Pleszczyńska
      Pages 26-52

  4. Selected theoretical topics

    1. Discriminant analysis

      • Tadeusz Bromek, Elżbieta Pleszczyńska
      Pages 53-85

    2. Screening problems

      • Tadeusz Bromek, Elżbieta Pleszczyńska
      Pages 86-105

    3. Evaluation of stochastic dependence

      • Tadeusz Bromek, Elżbieta Pleszczyńska
      Pages 106-136

  5. Selected practical problems

    1. Statistical problems of population genetics

      • Tadeusz Bromek, Elżbieta Pleszczyńska
      Pages 137-159

    2. Paternity Proving(1)

      • Tadeusz Bromek, Elżbieta Pleszczyńska
      Pages 160-194

    3. Studies on sister cells

      • Tadeusz Bromek, Elżbieta Pleszczyńska
      Pages 195-222

    4. Survival analysis for censored data

      • Tadeusz Bromek, Elżbieta Pleszczyńska
      Pages 223-244

    5. Latent variables in experimental psychology

      • Tadeusz Bromek, Elżbieta Pleszczyńska
      Pages 245-265

    6. Queueing models of computer systems

      • Tadeusz Bromek, Elżbieta Pleszczyńska
      Pages 266-282

  6. Back Matter

    Pages 283-312
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Keywords

About this book

Use and misuse of statistics seems to be the signum temporis of past decades. But nowadays this practice seems slowly to be wearing away, and common sense and responsibility recapturing their position. It is our contention that little by little statistics should return to its starting point, i.e., to formalizing and analyzing empirical phenomena. This requires the reevalu­ ation of many traditions and the rejection of many myths. We hope that our book would go some way towards this aim. We show the sharp conflict between what is needed and what is feasible. Moreover, we show how slender are the links between theory and practice in statistical inference, links which are sometimes no more than mutual inspiration. In Part One we present the consecutive stages of formalization of statistical problems, i.e., the description of the experiment, the presentation of the aim of the investigation, and of the constraints put upon the decision rules. We stress the fact that at each of these stagesthere is room for arbitrariness. We prove that the links between the real problem and its formal counterpart are often so weak that the solution of the formal problem may have no rational interpretation at the practical level. We give a considerable amount of thought to the reduction of statistical problems.

Editors and Affiliations

  • Institute of Computer Science of the Polish Academy of Sciences, Poland

    Tadeusz Bromek, Elżbieta Pleszczyńska

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