DOAJ Open Access 2020

The abstract of doctoral dissertation ‘nonlinear wavelet density estimation and hazard rate estimation with data missing at random’

Yuye Zou Guoliang Fan Riquan Zhang

Lihat Sumber DOI

Abstrak

In this thesis, we establish non-linear wavelet density estimators and studying the asymptotic properties of the estimators with data missing at random when covariates are present. The outstanding advantage of non-linear wavelet method is estimating the unsoothed functions, however, the classical kernel estimation cannot do this work. At the same time, we study the larger sample properties of the ISE for hazard rate estimator.

Topik & Kata Kunci

Probabilities. Mathematical statistics

Penulis (3)

Yuye Zou

Guoliang Fan

Riquan Zhang

Format Sitasi

APA MLA BibTeX

Zou, Y., Fan, G., Zhang, R. (2020). The abstract of doctoral dissertation ‘nonlinear wavelet density estimation and hazard rate estimation with data missing at random’. https://doi.org/10.1080/24754269.2019.1653161

Akses Cepat

Lihat di Sumber doi.org/10.1080/24754269.2019.1653161

Informasi Jurnal

Tahun Terbit: 2020
Sumber Database: DOAJ
DOI: 10.1080/24754269.2019.1653161
Akses: Open Access ✓