censored data

censored data

[¦sen·sərd ′dad·ə]
(statistics)
Observations collected by determining in advance whether to record only a specified number of the smallest or largest values, or of the remaining values in a sample of a particular size.
References in periodicals archive ?
Life Prediction Based on Type-I Censored Data. Solder joint fails when its dyed area reaches up to 30%or the number of failed solder joints is no less than 10 percent of the total number at observation time [c.sub.k].
Previous methods to address the issue of estimating resource use with censored data have notable limitations.
All of the above [C.sub.L] have been utilized to evaluate the quality performance for complete data and censored data. Nevertheless, record values often arise in industrial stress testing and other similar situations.
He presents a textbook introducing both simple and complex methods for analyzing censored data, which can be used with air quality, water quality, solids, and contaminants in biota, among other kinds of data.
Saleem and Aslam (2008a and b) use ordinary type I right censored data for Bayesian analysis of Rayleigh mixture.
Data quality objectives, generalized linear models, spatial data analysis, and censored data are among the topics that were modified for this edition.
These include the presence of censored data on child care costs, kinks in the budget constraint owing to AFDC regulations and non-continuous hours choices, and the joint determination of welfare recipiency and employment.
Thus, in constant-stress testing one might expect to have censored data especially at the lower stress levels, while in step stress testing there would be little or no censoring.
C., 1993, Identifiability of Bivariate Survival Curves from Censored Data, Journal of the American Statistical Association, 88: 573-579.
Ali Mousa and Al-Sagheer [3] obtained the maximum likelihood estimators (MLEs) and Bayes estimators for [mu], [sigma], and the reliability function of the Rayleigh distribution obtained based on the progressively Type-II censored data. Raqab and Madi [4] discussed the Bayesian predictive methods for the total time on test using doubly censored data with a Rayleigh distribution and the scale parameter and applied the methods to a real data set that represented the deep-groove ball bearing failure times.
We propose a new SVR model using a two-sided loss function for censored data. Performance of Cox model is compared to SVR models by means of three performance measures.
The focus of this review is on empirical likelihood regression method behavior on censored data and how those methods affect the result of the simulation studies.