Fuzzy Statistics

This monograph introduces elementary fuzzy statistics based on crisp (non-fuzzy) data. In the introductory chapters the book presents a very readable survey of fuzzy sets including fuzzy arithmetic and fuzzy functions. The book develops fuzzy estimation and demonstrates the construction of fuzzy est...

Full description

Bibliographic Details
Main Author: Buckley, James J. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
Edition:1st ed. 2004.
Series:Studies in Fuzziness and Soft Computing, 149
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Fuzzy Sets
  • Estimate ?, Variance Known
  • Estimate ?, Variance Unknown
  • Estimate p, Binomial Population
  • Estimate ?2 from a Normal Population
  • Estimate µ 1 - µ 2, Variances Known
  • Estimate ? 1 - ? 2, Variances Unknown
  • Estimate d =? 1 - ? 2, Matched Pairs
  • Estimate p 1 - p 2, Binomial Populations
  • Estimate ? 1 2 /? 2 2 , Normal Populations
  • Tests on µ, Variance Known
  • Tests on µ, Variance Unknown
  • Tests on p for a Binomial Population
  • Tests on ? 2, Normal Population
  • Tests ? 1 verses ? 2, Variances Known
  • Test ? 1 verses ? 2, Variances Unknown
  • Test p 1 = p 2, Binomial Populations
  • Test d = µ 1 - µ 2 , Matched Pairs
  • Test ? 1 2 verses ? 2 2 , Normal Populations
  • Fuzzy Correlation
  • Estimation in Simple Linear Regression
  • Fuzzy Prediction in Linear Regression
  • Hypothesis Testing in Regression
  • Estimation in Multiple Regression
  • Fuzzy Prediction in Regression
  • Hypothesis Testing in Regression
  • Summary and Questions
  • Maple Commands.