Statistics with Vague Data

Couverture
Springer Science & Business Media, 31 juil. 1987 - 279 pages
This monograph is an attempt to unify existing works in the field of random sets, random variables, and linguistic random variables with respect to statistical analysis. It is intended to be a tutorial research compendium. The material of the work is mainly based on the postdoctoral thesis (Ha- bilitationsschrift) of the first author and on several papers recently published by both authors. The methods form the basis of a user-friendly software tool which supports the statistical inferenee in the presence of vague data. Parts of the manuscript have been used in courses for graduate level students of mathematics and eomputer scienees held by the first author at the Technical University of Braunschweig. The textbook is designed for readers with an advanced knowledge of mathematics. The idea of writing this book came from Professor Dr. H. Skala. Several of our students have significantly contributed to its preparation. We would like to express our gratitude to Reinhard Elsner for his support in typesetting the book, Jorg Gebhardt and Jorg Knop for preparing the drawings, Michael Eike and Jiirgen Freckmann for implementing the programming system and Giinter Lehmann and Winfried Boer for proofreading the manuscript. This work was partially supported by the Fraunhofer-Gesellschaft. We are indebted to D. Reidel Publishing Company for making the pub- lication of this book possible and would especially like to acknowledge the support whieh we received from our families on this project.
 

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Table des matières

Introduction
1
Vague data
3
Fuzzy sets of the real line
10
Operations on Fuzzy sets
24
42 ON ZADEHS EXTENSION PRINCIPLE
28
43 ARITHMETIC OPERATIONS
32
Representation of vague data in a digital computer
42
Topological properties of fuzzy set spaces
50
102 CONSISTENT ESTIMATORS IN THE FINITE CASE
165
103 GLIWENKOCANTELLI THEOREM
176
104 RELATED RESULTS
188
Some aspects of statistical inference
193
112 CONFIDENCE ESTIMATION
203
113 THE TESTING OF HYPOTHESES
222
On a software tool for statistics with vague data
231
121 LINGUISTIC MODELLING
232

Random sets and fuzzy random variables
63
Descriptive statistics with vague data
71
81 EXPECTED VALUE
72
82 VARIANCE
80
83 EMPIRICAL DISTRIBUTION FUNCTION
120
Distribution Functions and iid sequences of random variables
131
Limit theorems
143
122 LINGUISTIC APPROXIMATION
237
123 EXAMPLES
240
REFERENCES
246
LIST OF SYMBOLS
262
SUBJECT INDEX
273
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