Results 91 to 100 of about 138 (118)

Investigating the efficiency of fitting Coxian phase-type distributions to health care data

IMA Journal of Management Mathematics, 2011
Coxian phase-type distributions are becoming a popular means of representing survival times within a health care environment. They are favoured as they show a distribution as a system of phases and can allow for an easy visual representation of the rate of flow of patients through a system.
Payne, Kieran, Marshall, Adele, Cairns, Karen   +2 more
openaire   +2 more sources

PH-Invariant Polytopes and Coxian Representations of Phase Type Distributions

Stochastic Models, 2006
In this paper, we study the relationship between phase type (PH) distributions, PH-invariant polytopes, and Coxian representations of PH-distributions. Explicit links are established between vectors in PH-invariant polytopes, PH-representations, and probability measures.
Qi-Ming He, Hanqin Zhang
openaire   +1 more source

Software Reliability Model with Coxian Distribution of Length of Intervals between Errors Detection and Fixing Moments

2011 IEEE 35th Annual Computer Software and Applications Conference Workshops, 2011
The generalized software reliability model on the basis of non-stationary Markovian service system is proposed. Approximation by Coxian distribution allows investigating software reliability growth for any kinds of distribution (for example, Weibull, Gamma) of time between the moments of program errors detection and fixing.
Vladimir P. Bubnov, Anatoly D. Khomonenko, Alexey V. Tyrva   +2 more
openaire   +1 more source

Modeling the Length of Stay of Respiratory Patients in Emergency Department Using Coxian Phase-Type Distributions with Covariates

IEEE Journal of Biomedical and Health Informatics, 2017
Variability and unpredictability are typical features of emergency departments (EDs) where patients randomly arrive with diverse conditions. Patient length of stay (LOS) represents the consumption level of hospital resources, and it is positively skewed and heterogeneous.
Ting Zhu 0004, Li Luo 0001, Xinli Zhang, Wenwu Shen   +3 more
openaire   +2 more sources

Surplus analysis for a class of Coxian interclaim time distributions with applications to mixed Erlang claim amounts

Insurance: Mathematics and Economics, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Willmot, GE, Woo, JK
openaire   +4 more sources

A conditional approach for modelling patient readmissions to hospital using a mixture of Coxian phase‐type distributions incorporating Bayes' theorem

Statistics in Medicine, 2016
The number of elderly patients requiring hospitalisation in Europe is rising. With a greater proportion of elderly people in the population comes a greater demand for health services and, in particular, hospital care. Thus, with a growing number of elderly patients requiring hospitalisation competing with non‐elderly patients for a fixed (and in some ...
Gordon, Andrew S., Marshall, Adele H., Cairns, Karen J.   +2 more
openaire   +4 more sources

Modelling the Length of Stay of Geriatric Patients in Emilia Romagna Hospitals Using Coxian Phase-Type Distributions with Covariates

2014
The attention placed on healthcare systems has been constantly increasing in recent years. This is especially true for geriatric services: older people often have complex medical and social needs and the proportion of elderly in the population is currently rising.
Marshall, AH, Mitchell, H, Zenga, M
openaire   +3 more sources

Recent Developments in fitting Coxian Phase-type Distributions in Healthcare

2009
In the past few decades, Coxian phase-type distributions have become increasingly more popular as a means of representing survival times in healthcare models. In particular, they are considered suitable for modelling the length of stay of patients in hospital and more recently for modelling the patient waiting times in Accident and Emergency ...
Marshall, AH, ZENGA, MARIANGELA
openaire   +1 more source

APPROXIMATION METHOD FOR PROBABILITY DISTRIBUTION FUNCTIONS BY COXIAN DISTRIBUTION

Advanced Reliability Modeling, 2004
YUKIE SASAKI, HIROEI IMAI, IKUO ISHII, MASAHIRO TSUNOYAMA   +3 more
openaire   +1 more source

Stochastic Inventory Model Using Coxian Distribution with Production and Sales

2022
D. Kanagajothi, Hanaa Hachimi
openaire   +1 more source