Results 251 to 260 of about 201,170 (293)
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Jeffreys priors for survival models with censored data
Journal of Statistical Planning and Inference, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
DE SANTIS, Fulvio +2 more
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Progressive Censoring: Data and Models
2014The notion of progressive censoring is explained by introducing progressive Type-I and Type-II censoring in detail. The presentation includes detailed descriptions of the procedures as well as graphical illustrations and data. Additionally, progressive hybrid censoring is discussed.
N. Balakrishnan, Erhard Cramer
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Frailty Models for Arbitrarily Censored and Truncated Data
Lifetime Data Analysis, 2004In this paper, we propose a frailty model for statistical inference in the case where we are faced with arbitrarily censored and truncated data. Our results extend those of Alioum and Commenges (1996), who developed a method of fitting a proportional hazards model to data of this kind.
Huber-Carol, C. +3 more
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A Quantile Survival Model for Censored Data
Australian & New Zealand Journal of Statistics, 2013SummaryIn this paper we propose a quantile survival model to analyze censored data. This approach provides a very effective way to construct a proper model for the survival time conditional on some covariates. Once a quantile survival model for the censored data is established, the survival density, survival or hazard functions of the survival time can
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Power Piecewise Exponential Model for Interval-Censored Data
Journal of Statistical Theory and Practice, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paulo Cerqueira dos Santos Junior +1 more
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Linear Models, Random Censoring and Synthetic Data
Biometrika, 1987Estimators for the linear model in the presence of censoring are available. A new extension of the least-squares estimator to censored data is equivalent to applying the ordinary least-squares estimator to synthetic times, time constructed by magnifying the gaps between successive order statistics.
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1987
The censored normal regression model considered by Tobin (1958), also commonly known as the ‘tobit’ model, is the following: $$y_i^* = \beta {x_i} + {u_i}.\quad {u_i} \sim IN(0,{\sigma ^2})$$ The observed y i are related to y i * according to the relationship $$\eqalign{ & {y_i} = y_i^*\quad if\,y_i^* > {y_0} \cr & = {y_0}\quad \;\quad ...
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The censored normal regression model considered by Tobin (1958), also commonly known as the ‘tobit’ model, is the following: $$y_i^* = \beta {x_i} + {u_i}.\quad {u_i} \sim IN(0,{\sigma ^2})$$ The observed y i are related to y i * according to the relationship $$\eqalign{ & {y_i} = y_i^*\quad if\,y_i^* > {y_0} \cr & = {y_0}\quad \;\quad ...
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Estimating GEV models with censored data
Transportation Research Part B: Methodological, 2013Abstract We examine the problem of estimating parameters for Generalized Extreme Value (GEV) models when one or more alternatives are censored in the sample data, i.e., all decision makers who choose these censored alternatives are excluded from the sample; however, information about the censored alternatives is still available.
Jeffrey P. Newman +2 more
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Modeling restricted bivariate censored lowflow data
Environmetrics, 1999Environmental studies often result in censored data. In this article, the lowflow quantiles Q*7,2 and Q*7,10 below a limit are treated as censored data. These streamflow quantiles are important for water resources planning and management. Our partial all-subsets censored regression procedure identifies a few important explanatory variables, such as ...
Jye-Chyi Lu +3 more
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On constant-sum models for censored survival data
Biometrika, 1979SUMMARY Williams & Lagakos (1977) consider a class of models for censored survival data in which the censoring and survival mechanisms are related by what is called a constant-sum condition. It is shown that the constant-sum condition is equivalent to a simple relationship between hazard functions.
Kalbfleisch, J. D., MacKay, R. J.
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