A theorem for calculation of the appropriate sample size in an estimation

DOI10.1016/j.chaos.2017.08.015zbMath1380.62032OpenAlexW2752511177MaRDI QIDQ1694072

Xu-zhu Wang, Feng-bao Yang, Xuefeng Zhang

Publication date: 1 February 2018

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2017.08.015

zbMATH Keywords

possibility theorydata analysisfuzzy decision makingfuzzy statisticscredibility distributionsimple size for estimation

Mathematics Subject Classification ID

Point estimation (62F10) Statistical decision theory and fuzziness (62C86)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Global stability for a sheep brucellosis model with immigration
• Bifurcation and chaos in a discrete physiological control system
• Statistical physics of vaccination
• Fuzzy sets as a basis for a theory of possibility
• Transmission dynamics of cholera: mathematical modeling and control strategies
• System crash as dynamics of complex networks
• A CLASS OF FUZZY MEASURES BASED ON TRIANGULAR NORMS A general framework for the combination of uncertain information
• PROBABILITY-POSSIBILITY TRANSFORMATIONS: A COMPARISON
• Fuzzy sets

This page was built for publication: A theorem for calculation of the appropriate sample size in an estimation