Linear Hypothesis Testing Based on Unbiased Fuzzy Estimators and Fuzzy Significance Level

DOI10.1007/978-3-319-39014-7_16zbMath1367.62225OpenAlexW2505117957MaRDI QIDQ4976459

Alireza Jiryaei, Mashaallah Mashinchi

Publication date: 28 July 2017

Published in: Fuzzy Statistical Decision-Making (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-39014-7_16

zbMATH Keywords

linear modelconfidence intervalanalysis of variancefuzzy test statisticfuzzy significance levellinear hypothesisfuzzy critical value

Mathematics Subject Classification ID

Analysis of variance and covariance (ANOVA) (62J10) Fuzziness, and linear inference and regression (62J86)

Related Items (3)

Unnamed Item ⋮ Testing statistical hypotheses for intuitionistic fuzzy data ⋮ Testing hypotheses for multivariate normal distribution with fuzzy random variables

Uses Software

• R

Cites Work

• On Buckley's approach to fuzzy estimation
• Testing fuzzy hypotheses based on fuzzy test statistic
• Fuzzy probability and statistics.
• Fuzzy statistics: hypothesis testing
• Analysis of variance based on fuzzy observations
• Analysis of variance for fuzzy data
• k-sample median test for vague data
• Fuzzy sets
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