Academic Journal

Detection of multiple change-points in hazard models

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Detection of multiple change-points in hazard models
Συνεισφορές: Zhang, Wei (author), Qian, Lianfen (Thesis advisor), Florida Atlantic University (Degree grantor), Charles E. Schmidt College of Science, Department of Mathematical Sciences
Στοιχεία εκδότη: Florida Atlantic University
Συλλογή: FAU Digital Collections (Florida Atlantic University Digital Library)
Θεματικοί όροι: Problem solving--Data processing, Process control--Statistical methods, Point processes, Mathematical statistics, Failure time data analysis--Data processing, Survival analysis (Biometry)--Data processing
Περιγραφή: Change-point detection in hazard rate function is an important research topic in survival analysis. In this dissertation, we firstly review existing methods for single change-point detection in piecewise exponential hazard model. Then we consider the problem of estimating the change point in the presence of right censoring and long-term survivors while using Kaplan-Meier estimator for the susceptible proportion. The maximum likelihood estimators are shown to be consistent. Taking one step further, we propose an counting process based and least squares based change-point detection algorithm. For single change-point case, consistency results are obtained. We then consider the detection of multiple change-points in the presence of long-term survivors via maximum likelihood based and counting process based method. Last but not least, we use a weighted least squares based and counting process based method for detection of multiple change-points with long-term survivors and covariates. For multiple change-points detection, simulation studies show good performances of our estimators under various parameters settings for both methods. All methods are applied to real data analyses. ; Includes bibliography. ; Dissertation (Ph.D.)--Florida Atlantic University, 2014. ; FAU Electronic Theses and Dissertations Collection
Τύπος εγγράφου: text
Περιγραφή αρχείου: 81 p.; application/pdf; Electronic Thesis or Dissertation
Γλώσσα: English
Relation: FA00004173; http://purl.flvc.org/fau/fd/FA00004173
Διαθεσιμότητα: http://purl.flvc.org/fau/fd/FA00004173
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Rights: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. ; http://rightsstatements.org/vocab/InC/1.0/
Αριθμός Καταχώρησης: edsbas.EA16C100
Βάση Δεδομένων: BASE
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