5 citations · 10 across the 9 of their papers we have counts for
9 papers
Maximum Approximate Bernstein Likelihood Estimation of Densities in a Two-sample Semiparametric Model
Zhong Guan
Maximum likelihood estimators are proposed for the parameters and the densities in a semiparametric density ratio model in which the nonparametric baseline density is approximated…
Maximum Approximate Likelihood Estimation in Accelerated Failure Time Model for Interval-Censored Data
Zhong Guan
The approximate Bernstein polynomial model, a mixture of beta distributions, is applied to obtain maximum likelihood estimates of the regression coefficients, and the baseline dens…
Maximum Approximate Bernstein Likelihood Estimation in Proportional Hazard Model for Interval-Censored Data
Zhong Guan
Maximum approximate Bernstein likelihood estimates of the baseline density function and the regression coefficients in the proportional hazard regression models based on interval-c…
Bernstein Polynomial Model for Nonparametric Multivariate Density
Tao Wang, Zhong Guan
In this paper, we study the Bernstein polynomial model for estimating the multivariate distribution functions and densities with bounded support. As a mixture model of multivariate…
Improvement of a Theorem of Lorentz (1963) and its Generalization to the Multivariate Case
Zhong Guan, Tao Wang
In this short note we have proved an enhanced version of a theorem of Lorentz [1] and its generalization to the multivariate case which gives a non- uniform estimate of degree of a…
Accelerated Nonparametric Maximum Likelihood Density Deconvolution Using Bernstein Polynomial
Zhong Guan
A new maximum likelihood method for deconvoluting a continuous density with a positive lower bound on a known compact support in additive measurement error models with known error…