Pages that link to "Item:Q3011153"
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The following pages link to Nonparametric inference for competing risks current status data with continuous, discrete or grouped observation times (Q3011153):
Displaying 14 items.
- Non-parametric maximum likelihood estimation of interval-censored failure time data subject to misclassification (Q143142) (← links)
- Likelihood based inference for current status data on a grid: a boundary phenomenon and an adaptive inference procedure (Q450019) (← links)
- A pool-adjacent-violators type algorithm for non-parametric estimation of current status data with dependent censoring (Q509838) (← links)
- Estimation of a discrete monotone distribution (Q1952038) (← links)
- Using the accelerated failure time model to analyze current status data with misclassified covariates (Q2044340) (← links)
- Revisiting non-parametric maximum likelihood estimation of current status data with competing risks (Q2278857) (← links)
- Nonparametric estimation from current status data with competing risks (Q4455401) (← links)
- PRICING A MOTOR EXTENDED WARRANTY WITH LIMITED USAGE COVER (Q4563731) (← links)
- Comparison of cumulative incidence functions of current status competing risks data with discrete observation times (Q5077940) (← links)
- Current status data with two competing risks and missing failure types: a parametric approach (Q5865408) (← links)
- A competing risk study of menarcheal age distribution based on non-recall current status data (Q6164643) (← links)
- On the maximum likelihood estimation of a discrete, finite support distribution under left-truncation and competing risks (Q6540870) (← links)
- Modelling recall-based competing risks data with<i>k</i>different models (Q6564299) (← links)
- Current status data with two competing risks and time-dependent missing failure types (Q6579842) (← links)
