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article · Journal of Biometrics & Biostatistics · 2017

Nonparametric Estimation of Quantile and Quantile Density Function

Xiye Yang, Hutson AD, D Wang

Cited by 5Abstract and details only

Abstract

In this article, we derive a new and unique method of estimating quantile and quantile density function, which is based on moments of fractional order statistics. A comparison of the proposed estimators is made with existing popular nonparametric quantile and quantile density estimators, in terms of mean squared error (MSE) for censored and uncensored data. Recommendations for the choice of quantile and/or quantile density estimators are given.

Cite this paper

APA 7

Yang, X., AD, H., & Wang, D. (2017). Nonparametric Estimation of Quantile and Quantile Density Function. Journal of Biometrics & Biostatistics, 08(03). https://doi.org/10.4172/2155-6180.1000356

MLA 9

Yang, Xiye, et al. “Nonparametric Estimation of Quantile and Quantile Density Function.” Journal of Biometrics & Biostatistics, vol. 08, no. 03, 2017, https://doi.org/10.4172/2155-6180.1000356.

Chicago

Yang, Xiye, Hutson AD, and D Wang. 2017. “Nonparametric Estimation of Quantile and Quantile Density Function.” Journal of Biometrics & Biostatistics 08 (03). https://doi.org/10.4172/2155-6180.1000356.

Harvard

Yang, X., AD, H. and Wang, D. (2017) ‘Nonparametric Estimation of Quantile and Quantile Density Function’, Journal of Biometrics & Biostatistics, 08(03). Available at: https://doi.org/10.4172/2155-6180.1000356.

BibTeX
@article{yang2017nonparametric,
  title = {{Nonparametric Estimation of Quantile and Quantile Density Function}},
  author = {Yang, Xiye and AD, Hutson and Wang, D},
  journal = {Journal of Biometrics & Biostatistics},
  volume = {08},
  number = {03},
  year = {2017},
  doi = {10.4172/2155-6180.1000356}
}

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