Phase I risk-adjusted Bernoulli chart in multistage healthcare processes based on the state-space model

DOI10.1080/00949655.2020.1820503OpenAlexW3088750324MaRDI QIDQ5033940

Majid Amin-Nayeri, Adel Mochammadpour, Amirhossein Amiri, Fatemeh Sogandi

Publication date: 24 February 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2020.1820503

zbMATH Keywords

expectation-maximization algorithmphase IKalman filter and smootherBernoulli state-space modelmultistage healthcare processes

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Distribution-free Phase-I scheme for location, scale and skewness shifts with an application in monitoring customers' waiting time

Uses Software

• KFAS

Cites Work

• KFAS
• Monte Carlo Kalman filter and smoothing for multivariate discrete state space models
• Using the EM algorithm for Bayesian variable selection in logistic regression models with related covariates
• A weighted likelihood ratio test-based chart for monitoring process mean and variability
• Phase I risk-adjusted control charts for surgical data with ordinal outcomes
• Double-objective economic statistical design of the VPT²control chart: Wald's identity approach
• Risk-Adjusted Cumulative Sum Charting Procedure Based on Multiresponses
• Monitoring surgical performance using risk-adjusted cumulative sum charts

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