Pages that link to "Item:Q2682970"
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The following pages link to Copula-based inference for bivariate survival data with left truncation and dependent censoring (Q2682970):
Displaying 14 items.
- Parametric likelihood inference and goodness-of-fit for dependently left-truncated data, a copula-based approach (Q151564) (← links)
- A copula model for bivariate hybrid censored survival data with application to the MACS study (Q746036) (← links)
- A simplified model for studying bivariate mortality under right-censoring (Q1941440) (← links)
- Joint and survivor annuity valuation with a bivariate reinforced urn process (Q2038234) (← links)
- A generalization of the Kaplan-Meier estimator for analyzing bivariate mortality under right-censoring and left-truncation with applications in model-checking for survival copula models (Q2447403) (← links)
- Modelling the joint distribution of competing risks survival times using copula functions (Q2463568) (← links)
- Copula models of joint last survivor analysis (Q3439755) (← links)
- A vine copula approach for regression analysis of bivariate current status data with informative censoring (Q5221304) (← links)
- (Q5427577) (← links)
- (Q5886018) (← links)
- Copula Based Cox Proportional Hazards Models for Dependent Censoring (Q6567900) (← links)
- Clayton copula for survival data with dependent censoring: an application to a tuberculosis treatment adherence data (Q6626938) (← links)
- Copula-based analysis of dependent current status data with semiparametric linear transformation model (Q6667791) (← links)
- Multidimensional credibility: a new approach based on joint distribution function (Q6668693) (← links)
