Inclusion degree tests for the Aumann expectation of a random interval
From MaRDI portal
Publication:508758
DOI10.1016/j.ins.2014.08.013zbMath1357.62088OpenAlexW2039061567MaRDI QIDQ508758
Publication date: 8 February 2017
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2014.08.013
Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Bootstrap, jackknife and other resampling methods (62F40)
Related Items (6)
Data generation processes and statistical management of interval data ⋮ The Sign Test for Interval-Valued Data ⋮ Two-Sample Similarity Test for the Expected Value of Random Intervals ⋮ Distance-based linear discriminant analysis for interval-valued data ⋮ Testing the degree of overlap for the expected value of random intervals ⋮ Multiple linear regression models for random intervals: a set arithmetic approach
Cites Work
- Unnamed Item
- Unnamed Item
- Identification and estimation of statistical functionals using incomplete data
- Fuzzy data treated as functional data: a one-way ANOVA test approach
- \(K\)-sample tests for equality of variances of random fuzzy sets
- Interval arithmetic-based simple linear regression between interval data: Discussion and sensitivity analysis on the choice of the metric
- Partial identification using random set theory
- A robust fuzzy \(k\)-means clustering model for interval valued data
- A linear regression model for imprecise response
- Necessary conditions for the bootstrap of the mean
- Inverses of fuzzy relations. Application to possibility distributions and medical diagnosis
- Estimation of a flexible simple linear model for interval data based on set arithmetic
- An asymptotic \(\alpha\)-test for the expectation of random fuzzy variables
- On-line algorithms for computing mean and variance of interval data, and their use in intelligent systems
- Extended support vector interval regression networks for interval input-output data
- Strong consistency of least-squares estimation in linear regression models with vague concepts
- Integrals of set-valued functions
- Asymptotic Properties for a Class of Partially Identified Models
- Partial Identification in Monotone Binary Models: Discrete Regressors and Interval Data
- Theory of Random Sets
- On Nonparametric Maximum Likelihood Estimation with Interval Censoring and Left Truncation
- Inference on Regressions with Interval Data on a Regressor or Outcome
- Regression and correlation analyses of a linear relation between random intervals
This page was built for publication: Inclusion degree tests for the Aumann expectation of a random interval