Inferencias no paramétricas con datos censurados
Explore this paper's citation graph
- Type
- article
- Published
- 1991-01-01
- Cited by
- 0
- References
- 29
- OpenAlex
- https://openalex.org/W23585138
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:115478401
Keywords
Computer science, Artificial intelligence
References
- Suavizacion no parametrica en fiabilidad
- Berry-esseen bound for the kaplan-meier estimator
- On Estimating Regression
- Least squares regression with censored data
- Relative efficiency and deficiency of kernel type estimators of smooth distribution functions
- Parameter estimation in smooth empirical processes
- EFFICIENT ESTIMATION OF FUNCTIONALS WITH CENSORED DATA
- Sequential fixed-width confidence bands for distribution functions under random censoring
- Deficiency of the mle of a smooth survival function under the proportional hazard model
- Asymptotic Normality of the Kernel Quantile Estimator
- A note on the estimation of a distribution function and quantiles by a kernel method
- Remarks on Some Nonparametric Estimates of a Density Function
- Pearson-Type Goodness-of-Fit Tests: The Univariate Case
- Confidence bands for a survival curve from censored data
- Relative Deficiency of Kernel Type Estimators of Quantiles
- Asymptotic normality of generalized functional estimators dependent on covariables
- Robust Estimation of a Location Parameter
- Linear Functions of Concomitants of Order Statistics with Application to Nonparametric Estimation of a Regression Function
- Confidence Bands for Survival Functions With Censored Data: A Comparative Study
- Asymptotically Optimal Bandwidth Selection for Kernel Density Estimators from Randomly Right-Censored Samples.
Cited by
No citing papers recorded for this paper.
Related papers
No related papers recorded.