Statistical inference and prediction for the Weibull process with incomplete observations
- Author
- YU, Jun-Wu1 ; TIAN, Guo-Liang2 ; TANG, Man-Lai3
[1] School of Mathematics and Computational Science, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China
[2] Division of Biostatistics, University of Maryland Greenebaum Cancer Center, 22 South Greene Street, Baltimore, MD 21201, United States
[3] Department of Mathematics, Hong Kong Baptist University, Kowloon Tong, Hong-Kong - Source
Computational statistics & data analysis. 2008, Vol 52, Num 3, pp 1587-1603, 17 p ; ref : 1/2 p
- ISSN
- 0167-9473
- Scientific domain
- Mathematics
- Publisher
- Elsevier Science, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- AMSAA model Confidence intervals Goodness-of-fit test Nonhomogeneous Poisson process Prediction limits Reliability growth Weibull process
- Keyword (fr)
- Algèbre linéaire numérique Analyse donnée Analyse multivariable Analyse numérique Analyse statistique Calcul statistique Conditionnement Distribution statistique Estimation non paramétrique Estimation statistique Indice conditionnement Intervalle confiance Maximum vraisemblance Processus stochastique Prédiction Test ajustement Test hypothèse Test statistique Théorie approximation Théorie filtrage Théorie prédiction 15A12 60G25 62E17 62F03 62F25 62G10 62G15 62H15 62M20 65F35 Estimation paramétrique Temps défaillance
- Keyword (en)
- Numerical linear algebra Data analysis Multivariate analysis Numerical analysis Statistical analysis Statistical computation Conditioning Statistical distribution Non parametric estimation Statistical estimation Condition number Confidence interval Maximum likelihood Stochastic process Prediction Goodness of fit test Hypothesis test Statistical test Approximation theory Filtering theory Prediction theory Failure time
- Keyword (es)
- Algebra lineal numérica Análisis datos Análisis multivariable Análisis numérico Análisis estadístico Cálculo estadístico Acondicionamiento Distribución estadística Estimación no paramétrica Estimación estadística Numero de condicionamiento Intervalo confianza Maxima verosimilitud Proceso estocástico Predicción Prueba ajuste 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 / 001A02H01H Stochastic processes
- 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 / 001A02H02I Multivariate analysis
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02I Numerical analysis. Scientific computation / 001A02I01 Numerical analysis / 001A02I01Q Numerical methods in probability and statistics
- Discipline
- Mathematics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20017581
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
Access to the document
Install on your browser
DOI
10.1016/j.csda.2007.05.003 
https://dx.doi.org/10.1016/j.csda.2007.05.003
"O:13:\"PanistOpenUrl\":36:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000idc\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1016\/j.csda.2007.05.003\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:89:\"Statistical inference and prediction for the Weibull process with incomplete observations\";s:9:\"\u0000*\u0000jtitle\";s:40:\"Computational statistics & data analysis\";s:9:\"\u0000*\u0000stitle\";s:23:\"Comput. stat. data anal\";s:7:\"\u0000*\u0000date\";s:4:\"2008\";s:9:\"\u0000*\u0000volume\";s:2:\"52\";s:8:\"\u0000*\u0000issue\";s:1:\"3\";s:8:\"\u0000*\u0000spage\";s:4:\"1587\";s:8:\"\u0000*\u0000epage\";s:4:\"1603\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0167-9473\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:2:\"YU\";s:10:\"\u0000*\u0000aufirst\";s:6:\"Jun-Wu\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:2:{i:0;s:15:\"TIAN, Guo-Liang\";i:1;s:13:\"TANG, Man-Lai\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:89:\"Statistical inference and prediction for the Weibull process with incomplete observations\";s:8:\"\u0000*\u0000place\";s:9:\"Amsterdam\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"17\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Panist access
"O:12:\"IstexOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1016\/j.csda.2007.05.003\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:89:\"Statistical inference and prediction for the Weibull process with incomplete observations\";s:9:\"\u0000*\u0000jtitle\";s:40:\"Computational statistics & data analysis\";s:9:\"\u0000*\u0000stitle\";s:23:\"Comput. stat. data anal\";s:7:\"\u0000*\u0000date\";s:4:\"2008\";s:9:\"\u0000*\u0000volume\";s:2:\"52\";s:8:\"\u0000*\u0000issue\";s:1:\"3\";s:8:\"\u0000*\u0000spage\";s:4:\"1587\";s:8:\"\u0000*\u0000epage\";s:4:\"1603\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0167-9473\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:2:\"YU\";s:10:\"\u0000*\u0000aufirst\";s:6:\"Jun-Wu\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:2:{i:0;s:15:\"TIAN, Guo-Liang\";i:1;s:13:\"TANG, Man-Lai\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:89:\"Statistical inference and prediction for the Weibull process with incomplete observations\";s:8:\"\u0000*\u0000place\";s:9:\"Amsterdam\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"17\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Istex access
"O:16:\"UnpaywallOpenUrl\":35:{s:8:\"\u0000*\u0000email\";s:27:\"assistance-portail@inist.fr\";s:6:\"\u0000*\u0000fmt\";N;s:6:\"\u0000*\u0000doi\";s:26:\"10.1016\/j.csda.2007.05.003\";s:6:\"\u0000*\u0000pii\";N;s:7:\"\u0000*\u0000pmid\";N;s:9:\"\u0000*\u0000atitle\";N;s:9:\"\u0000*\u0000jtitle\";N;s:9:\"\u0000*\u0000stitle\";N;s:7:\"\u0000*\u0000date\";N;s:9:\"\u0000*\u0000volume\";N;s:8:\"\u0000*\u0000issue\";N;s:8:\"\u0000*\u0000spage\";N;s:8:\"\u0000*\u0000epage\";N;s:8:\"\u0000*\u0000pages\";N;s:7:\"\u0000*\u0000issn\";N;s:8:\"\u0000*\u0000eissn\";N;s:9:\"\u0000*\u0000aulast\";N;s:10:\"\u0000*\u0000aufirst\";N;s:9:\"\u0000*\u0000auinit\";N;s:10:\"\u0000*\u0000auinitm\";N;s:5:\"\u0000*\u0000au\";N;s:9:\"\u0000*\u0000aucorp\";N;s:7:\"\u0000*\u0000isbn\";N;s:8:\"\u0000*\u0000coden\";N;s:8:\"\u0000*\u0000genre\";N;s:7:\"\u0000*\u0000part\";N;s:9:\"\u0000*\u0000btitle\";N;s:8:\"\u0000*\u0000title\";N;s:8:\"\u0000*\u0000place\";N;s:6:\"\u0000*\u0000pub\";N;s:10:\"\u0000*\u0000edition\";N;s:9:\"\u0000*\u0000tpages\";N;s:9:\"\u0000*\u0000series\";N;s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";N;}"
Unpaywall access
"O:16:\"EuropePMCOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1016\/j.csda.2007.05.003\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:89:\"Statistical inference and prediction for the Weibull process with incomplete observations\";s:9:\"\u0000*\u0000jtitle\";s:40:\"Computational statistics & data analysis\";s:9:\"\u0000*\u0000stitle\";s:23:\"Comput. stat. data anal\";s:7:\"\u0000*\u0000date\";s:4:\"2008\";s:9:\"\u0000*\u0000volume\";s:2:\"52\";s:8:\"\u0000*\u0000issue\";s:1:\"3\";s:8:\"\u0000*\u0000spage\";s:4:\"1587\";s:8:\"\u0000*\u0000epage\";s:4:\"1603\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0167-9473\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:2:\"YU\";s:10:\"\u0000*\u0000aufirst\";s:6:\"Jun-Wu\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:2:{i:0;s:15:\"TIAN, Guo-Liang\";i:1;s:13:\"TANG, Man-Lai\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:89:\"Statistical inference and prediction for the Weibull process with incomplete observations\";s:8:\"\u0000*\u0000place\";s:9:\"Amsterdam\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"17\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Europe PubMed Central access
"O:12:\"ArXivOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:26:\"10.1016\/j.csda.2007.05.003\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:89:\"Statistical inference and prediction for the Weibull process with incomplete observations\";s:9:\"\u0000*\u0000jtitle\";s:40:\"Computational statistics & data analysis\";s:9:\"\u0000*\u0000stitle\";s:23:\"Comput. stat. data anal\";s:7:\"\u0000*\u0000date\";s:4:\"2008\";s:9:\"\u0000*\u0000volume\";s:2:\"52\";s:8:\"\u0000*\u0000issue\";s:1:\"3\";s:8:\"\u0000*\u0000spage\";s:4:\"1587\";s:8:\"\u0000*\u0000epage\";s:4:\"1603\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0167-9473\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:2:\"YU\";s:10:\"\u0000*\u0000aufirst\";s:6:\"Jun-Wu\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:2:{i:0;s:15:\"TIAN, Guo-Liang\";i:1;s:13:\"TANG, Man-Lai\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:0:\"\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:89:\"Statistical inference and prediction for the Weibull process with incomplete observations\";s:8:\"\u0000*\u0000place\";s:9:\"Amsterdam\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:2:\"17\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
arXiv access
