Bayesian nonparametric models for ranked set sampling

Ranked set sampling (RSS) is a data collection technique that combines measurement with judgment ranking for statistical inference. This paper lays out a formal and natural Bayesian framework for RSS that is analogous to its frequentist justification, and that does not require the assumption of perf...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Lifetime data analysis 2015-04, Vol.21 (2), p.315-329
Hauptverfasser:	Gemayel, Nader, Stasny, Elizabeth A., Wolfe, Douglas A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis of Variance Bayes Theorem Bayesian analysis Biometry - methods Data collection Data Interpretation, Statistical Decomposition Economics Finance Health Sciences Humans Insurance Management Markov analysis Markov Chains Mathematics and Statistics Medicine Monte Carlo Method Monte Carlo simulation Operations Research/Decision Theory Population Quality Control Ratings & rankings Reliability Safety and Risk Sample size Sampling Statistical inference Statistics Statistics for Business Statistics for Life Sciences Statistics, Nonparametric Studies
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!