Fuzzy statistics [electronic resource] / James J. Buckley.
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...
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| Online Access: |
Full Text (via Springer) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
©2004.
|
| Series: | Studies in fuzziness and soft computing ;
v. 149. |
| Subjects: |
Table of Contents:
- Introduction
- Fuzzy Sets
- Estimate, Variance Known
- Estimate, Variance Unknown
- Estimate p, Binomial Population
- Estimate sigma from a Normal Population
- Estimate 1
- 2, Variances Known
- Estimate 1
- 2, Variances Unknown
- Estimate d = 1
- 2, Matched Pairs
- Estimate p1
- p2, Binomial Populations
- Estimate sigma sub one squared/sigma sub two squared, Normal Populations
- Tests on, Variance Known
- Tests on, Variance Unknown
- Tests on p for a Binomial Population
- Tests on sigma2, Normal Population
- Tests 1 vs. 2, Variances Known
- Test 1 vs. 2, Variances Unknown
- Test p1 = p2, Binomial Populations
- Test d = 1
- 2, Matched Pairs
- Test sigma sub one squared vs. sigma sub two squared, 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.