censored data
Bivariate Contours for Censored Data.
... The main objective in this thesis is to develop a methodology for generating potentially dynamic bivariate contours when one of the variables is subject to detection limits. We define dynamic to refer to contours which ...
147
Failure Process Modeling with Censored Data in Accelerated Life Tests
... interval censored and right censored data was ...the censored data have less accuracy compared to the complete ...of censored data, the less the convergence of estimates ...
14
A Stochastic EM Algorithm for Progressively Censored Data Analysis
... progressively censored data when deriving the maximum likelihood estimates (MLEs) has greatly restricted the wide adoption of this scheme by reliability ...progressively censored data is to ...
24
Parameter estimation of the modified Weibull model based on grouped and censored data
... Estimation of the unknown parameters of statistical distributions is one of the most important problems facing applied statisticians. This paper presents estimations of the unknown parameters of the modified Weibull ...
5
Survival Model With Doubly Interval-Censored Data and Time-Dependent Covariates
... In this research the MLE for the parameters of a sur- vival model with doubly interval-censored data and time- dependent covariates was analyzed. It was shown that the bias, SE and RMSE values decrease when ...
6
Smooth Inference for Survival Functions with Arbitrarily Censored Data
... 2002). The EMS algorithm is similar to Turnbull’s EM algorithm in Section 1.3, with an added third step for smoothing. This smoothing step is carried out using penalized likelihood, and, similar to the first two steps, ...
187
Inferences for Burr-X Model Based on Unified Hybrid Censored Data
... Abstract—In this paper, Burr-X distribution with unified hybrid censored data is considered. The maximum likelihood method, the Bayesian and the E-Bayesian (the expectation of the Bayesian estimate) ...
7
Empirical likelihood inference of parameters in nonlinear EV models with censored data
... with censored data have been researched in much of the ...for data and established a new regression ...the censored variable to be independent of the covariable and applied a new data ...
16
Accelerated life testing plans for the stochastic degradation models for censored data using log location scale distribution
... or censored lifetime data from an exponential ...for censored data from exponential distribution and discuss more recent work, Chung and Bai (1998), Optimal designs of simple step-stress ...
6
TL-moments for Type-I Censored Data with an Application to the Weibull Distribution
... of censored samples; Wang (1990a, b, 1996a) introduced the concept of partial probability-weighted moments ...left censored data from the Kumaraswamy ...
26
A Non-mixture Cure Model for Right Censored Data with Fréchet Distribution
... Abstract: This paper considers a non-mixture cure model for right censored data. It utilizes the maximum likelihood method to estimate model parameters in the non-mixture cure model. The simulation study is ...
13
Generalized Likelihood Ratio Tests for Varying Coefficient Models with Censored Data
... [14] X. Luo, Z. Yang and Y. Zhou, "Varying-Coefficient Re- gression Models with Censored Data," Acta Mathemati- cae Applicatae Sinica, Vol. 29, No. 3, 2006, pp. 415-427. [15] Z. Zheng, "A Class ...
5
Comparison of the Bayesian Methods on Interval Censored Data for Weibull Distribution
... This study considers the estimation of Maximum Likelihood Estimator and the Bayesian Estimator of the Weibull distribution with interval-censored data. The Bayesian estimation can’t be used to solve the ...
9
Estimation in Inverse Weibull Distribution Based on Randomly Censored Data
... time data depicting non-monotone failure rate ...where data show the non-monotone, unimodel failure rate, like remission time of cancer patients, wind speed data, rainfall data, ...II ...
28
Proportional mean regression models for censored data
... distribution with scale parameter λ and shape parameter α. One may use other parametric families such as log normal or gamma. More generally, any parametric family supported on the positive half line may be considered. ...
26
Flexible modelling of survival curves for censored data
... to censored data using direct MLE or PWMs, since this requires maximising or minimis- ing a much more complex objective function which can be difficult in ...empirical data, as illus- trated in ...
20
Estimation Using Censored Data from Exponentiated Burr Type XII Population
... Maximum likelihood and Bayes estimators of the parameters, survival function (SF) and hazard rate function (HRF) are obtained for the three-parameter exponentiated Burr type XII distribution when sample is avail- able ...
13
A Spatial Cost of Living Index for Colombia using a Microeconomic Approach and Censored Data
... including censored data in the estimation of the budget shares (see Heien and Wessels, 1990; and Shonkwiler and Yen, 1999) while in the second one the problem is solved by using income as an instrumental ...
26
Testing the Validity of the Exponential Model Based on Type II Censored Data Using Transformed Sample Data
... transformed data for testing exponen- tiality based on Type-II censored data are ...transformed data have a good per- formance in detecting ...real data sets in the ...
12
Comparing survival functions with interval-censored data in the presence of an intermediate clinical event
... interval-censored data was studied via MI based on the approximate Bayesian bootstrap ...interval- censored data with auxiliary variables was studied ...all data points including ...
9