Multi-Stage Semi-Markov Models for Recovery Process
- Author
- UGWUOWO, F. I1 ; UDOUMOH, E. F2
[1] Department of Statistics, University of Nigeria, Enugu State, Nigeria
[2] Department of Mathematics, Statistics & Computer Science, University of Agriculture, Benue State, Nigeria - Conference name
- International Conference on Applied Stochastic Models and Data Analysis (ASMDA) (ASMDA) (13 ; Vilnius 2009-06-30)
- Source
Communications in statistics. Theory and methods. 2011, Vol 40, Num 16-18, pp 3011-3019, 9 p ; ref : 1 p
- CODEN
- CSTMDC
- ISSN
- 0361-0926
- Scientific domain
- Mathematics
- Publisher
- Taylor & Francis, Philadelphia, PA
- Publication country
- United States
- Document type
- Conference Paper
- Language
- English
- Author keyword
- 62M07 62M09 Acuity level Multi-stage process Nonparametric Parametric Recovery process Semi-Markov model
- Keyword (fr)
- Estimation non paramétrique Estimation paramètre Estimation statistique Maximum vraisemblance Modèle Markov Méthode non paramétrique Méthode paramétrique Méthode statistique Processus Markov Processus stochastique Test hypothèse Test statistique 60J05 60J99 60K15 62Fxx 62G05 62M02 62M05 Distribution temps séjour Estimation paramétrique Loi stationnaire
- Keyword (en)
- Non parametric estimation Parameter estimation Statistical estimation Maximum likelihood Markov model Non parametric method Parametric method Statistical method Markov process Stochastic process Hypothesis test Statistical test Sojourn time distribution Parametric estimation Stationary distribution
- Keyword (es)
- Estimación no paramétrica Estimación parámetro Estimación estadística Maxima verosimilitud Modelo Markov Método no paramétrico Método paramétrico Método estadístico Proceso Markov Proceso estocástico Test hipótesis Test estadístico
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01J Markov processes
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01K Special processes (renewal theory, markov renewal processes, semi-markov processes, statistical mechanics type models, applications)
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02A General topics
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02M Inference from stochastic processes; time series analysis
- Discipline
- Mathematics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 24462192
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1080/03610926.2011.562787 
https://dx.doi.org/10.1080/03610926.2011.562787
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