Data generation processes and statistical management of interval data

DOI10.1007/s10182-016-0274-zzbMath1443.62017OpenAlexW2469100224MaRDI QIDQ1622089

Peter Winker, Angela Blanco-Fernández

Publication date: 12 November 2018

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-016-0274-z

zbMATH Keywords

interval dataprobabilistic approachepistemic viewpossibilistic approachexperimental data generation processontic view

Mathematics Subject Classification ID

Fuzzy analysis in statistics (62A86)

Related Items (4)

Clustering of longitudinal interval-valued data via mixture distribution under covariance separability ⋮ Two-sample tests for interval-valued data ⋮ Multiple mediation analysis for interval-valued data ⋮ A self-consistent estimator for interval-valued data

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Confidence sets in a linear regression model for interval data
• Statistical modeling under partial identification: distinguishing three types of identification regions in regression analysis with interval data
• On the possibilistic approach to linear regression models involving uncertain, indeterminate or interval data
• Inclusion degree tests for the Aumann expectation of a random interval
• Some recent advances in measurement error models and methods
• New clustering methods for interval data
• Linear disriminant analysis for interval data
• Least squares fitting of compact set-valued data
• Constrained linear regression models for symbolic interval-valued variables
• A generalized model for data envelopment analysis with interval data
• Simulation of fuzzy random variables
• Testing linear independence in linear models with interval-valued data
• Statistical inference about the means of fuzzy random variables: applications to the analysis of fuzzy- and real-valued data
• Ignorability and coarse data
• A generalized strong law of large numbers
• Computation of bounds on population parameters when the data are incomplete
• Symmetric and asymmetric rounding: a review and some new results
• Principal component analysis with interval imputed missing values
• Estimation of a flexible simple linear model for interval data based on set arithmetic
• Partial identification of probability distributions.
• The jackknife and bootstrap
• An application of interval methods to stock market forecasting
• Least squares estimation of linear regression models for convex compact random sets
• A distance-based statistical analysis of fuzzy number-valued data
• Statistical reasoning with set-valued information: ontic vs. epistemic views
• Testing the Variability of Interval Data: An Application to Tidal Fluctuation
• Partial identification of spread parameters
• Principal Component Analysis for Non-Precise Data
• Possibilistic Clustering Methods for Interval-Valued Data
• MEASUREMENT OF POSSIBILISTIC HISTOGRAMS FROM INTERVAL DATA
• A flexible approach for multivariate mixed-effects models with non-ignorable missing values
• Theory of Random Sets
• Inference on Regressions with Interval Data on a Regressor or Outcome
• Fuzzy sets
• Fuzzy random variables
• Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data
• Regression and correlation analyses of a linear relation between random intervals

This page was built for publication: Data generation processes and statistical management of interval data