Lower Cramer-Rao and Bhattacharyya bounds for randomly censored observations

1987 ◽  
Vol 38 (5) ◽  
pp. 2171-2185 ◽  
Author(s):  
A. A. Abdushukurov ◽  
L. V. Kim
Keyword(s):  
Bhattacharyya Bounds ◽  
Censored Observations ◽  
Randomly Censored

A Semiparametric Approach to Hazard Estimation with Randomly Censored Observations

1997 ◽  
Vol 92 (440) ◽  
pp. 1351-1355 ◽  
Author(s):  
Djokouri A. Kouassi ◽  
Jagbir Singh
Keyword(s):  
Semiparametric Approach ◽  
Hazard Estimation ◽  
Censored Observations ◽  
Randomly Censored

scholarly journals Zero-inflated-censored Weibull and gamma regression models to estimate wild boar population dispersal distance

2021 ◽  
Author(s):  
Eduardo de Freitas Costa ◽  
Silvana Schneider ◽  
Giulia Bagatini Carlotto ◽  
Tainá Cabalheiro ◽  
Mauro Ribeiro de Oliveira Júnior
Keyword(s):  
Wild Boar ◽  
Regression Models ◽  
Likelihood Function ◽  
Complex Structure ◽  
Dispersal Distance ◽  
Wild Boar Population ◽  
Gamma Distributions ◽  
Excess Of Zeros ◽  
Censored Observations ◽  
Positive Effect

AbstractThe dynamics of the wild boar population has become a pressing issue not only for ecological purposes, but also for agricultural and livestock production. The data related to the wild boar dispersal distance can have a complex structure, including excess of zeros and right-censored observations, thus being challenging for modeling. In this sense, we propose two different zero-inflated-right-censored regression models, assuming Weibull and gamma distributions. First, we present the construction of the likelihood function, and then, we apply both models to simulated datasets, demonstrating that both regression models behave well. The simulation results point to the consistency and asymptotic unbiasedness of the developed methods. Afterwards, we adjusted both models to a simulated dataset of wild boar dispersal, including excess of zeros, right-censored observations, and two covariates: age and sex. We showed that the models were useful to extract inferences about the wild boar dispersal, correctly describing the data mimicking a situation where males disperse more than females, and age has a positive effect on the dispersal of the wild boars. These results are useful to overcome some limitations regarding inferences in zero-inflated-right-censored datasets, especially concerning the wild boar’s population. Users will be provided with an R function to run the proposed models.

scholarly journals Mapping Quantitative Trait Loci With Censored Observations

Genetics ◽  
2004 ◽  
Vol 168 (3) ◽  
pp. 1689-1698 ◽  
Author(s):  
Guoqing Diao ◽  
D. Y. Lin ◽  
Fei Zou
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Trait Loci ◽  
Censored Observations

Tests for new better than used in expectation with randomly censored data

1986 ◽  
Vol 5 (1) ◽  
pp. 85-92 ◽  
Author(s):  
Yoshiki Kumazawa
Keyword(s):  
Censored Data ◽  
Randomly Censored Data ◽  
New Better Than Used ◽  
Better Than ◽  
Randomly 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.

scholarly journals Analysis of Environmental Data with Censored Observations

1997 ◽  
Vol 31 (12) ◽  
pp. 3358-3362 ◽  
Author(s):  
Shiping Liu ◽  
Jye-Chyi Lu ◽  
Dana W. Kolpin ◽  
William Q. Meeker
Keyword(s):  
Environmental Data ◽  
Censored Observations

scholarly journals The Estimation of the Hazard Function from Randomly Censored Data by the Kernel Method

1983 ◽  
Vol 11 (3) ◽  
pp. 989-993 ◽  
Author(s):  
Martin A. Tanner ◽  
Wing Hung Wong
Keyword(s):  
Censored Data ◽  
Hazard Function ◽  
Kernel Method ◽  
Randomly Censored Data ◽  
Randomly Censored
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