Two sample tests for semi-Markov processes with parametric sojourn time distributions: an application in sensory analysis

DOI10.1007/S00180-022-01210-XzbMath1505.62145OpenAlexW4220949193MaRDI QIDQ2095769

Cindy Frascolla, Pascal Schlich, Guillaume Lecuelle, Hervé Cardot

Publication date: 15 November 2022

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-022-01210-x

zbMATH Keywords

likelihood ratio testgamma distributionWeibull distributionparametric bootstrappermutation testqualitative continuous time processtemporal dominance of sensations (TDS)

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (1)

Hypothesis testing for panels of semi-Markov processes with parametric sojourn time distributions

Uses Software

• Rcpp
• SMM
• Unnamed Item

Cites Work

• Exact MLE and asymptotic properties for nonparametric semi-Markov models
• Some nonasymptotic results on resampling in high dimension. I: Confidence regions
• Semi-Markov chains and hidden semi-Markov models toward applications. Their use in reliability and DNA analysis.
• Semi-Markov modelling for multi-state systems
• Regenerative stochastic processes
• Statistical Inference about Markov Chains
• Asymptotic Statistics
• Testing Statistical Hypotheses
• Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing
• Semi-Markov processes and reliability
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Two sample tests for semi-Markov processes with parametric sojourn time distributions: an application in sensory analysis