scholarly journals Doubly Censored Data from Two-Component Mixture of Inverse Weibull Distributions: Theory and Applications

2016 ◽  
Vol 15 (2) ◽  
pp. 322-349 ◽  
Author(s):  
Tabassum Naz Sindhu ◽  
Navid Feroze ◽  
Muhammad Aslam
Keyword(s):  
Censored Data ◽  
Weibull Distributions ◽  
Component Mixture ◽  
Doubly Censored Data ◽  
Two Component ◽  
Doubly Censored

Simultaneous marginal survival estimators when doubly censored data is present

2010 ◽  
Vol 17 (3) ◽  
pp. 347-372 ◽  
Author(s):  
Olga Julià ◽  
Guadalupe Gómez
Keyword(s):  
Censored Data ◽  
Doubly Censored Data ◽  
Doubly Censored ◽  
Marginal Survival

Estimation of the Infection Time and Latency Distribution of AIDS with Doubly Censored Data

Biometrics ◽  
1994 ◽  
Vol 50 (1) ◽  
pp. 204 ◽  
Author(s):  
Guadalupe Gomez ◽  
Stephen W. Lagakos
Keyword(s):  
Censored Data ◽  
Latency Distribution ◽  
Infection Time ◽  
Doubly Censored Data ◽  
Doubly Censored

Linear regression analyses with censored data: estimation of PAH washout ratios and dry deposition velocities to a snow surface

1995 ◽  
Vol 22 (4) ◽  
pp. 819-833 ◽  
Author(s):  
Mukesh Sharma ◽  
Neil R. Thomson ◽  
Edward A. McBean
Keyword(s):  
Least Squares ◽  
Censored Data ◽  
Dry Deposition ◽  
Least Squares Method ◽  
Deposition Velocity ◽  
Snow Surface ◽  
Regression Analyses ◽  
Doubly Censored Data ◽  
Doubly Censored ◽  
Censored Observations

Detection limits of analyzing instruments are the main reason for censored observations of pollutant concentrations. An iterative least squares method for regression analyses is developed to suit the doubly censored data commonly observed in environmental engineering. The modified iterative least squares method utilizes the expected values of censored observations estimated from the probability density function of doubly censored data in a regression process. The modified method is examined for bias in the estimation of the parameters of a linear model, and in the estimation of the standard deviation of the regression. A mechanistic model for atmospheric transport and deposition of polycyclic aromatic hydrocarbons (PAHs) to a snow surface is formulated by utilizing the long-term PAH retention property of deep snowpacks. The modified iterative least squares method is applied to estimate the deposition parameters (dry deposition velocity and washout ratio) for various PAH species, since some of the PAH deposition levels were below the minimum detection limit of the analyzing instrument. The estimated parameters are examined statistically, and compare favourably with previously reported estimates of these parameters. Key words: censored data, regression, iterative least squares, PAHs, dry deposition velocity, washout ratio.

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