期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2021; 33 (1)
In many applications, data cluster. Failing to take the cluster structure into consideration generally leads to underestimated variances of point esti......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2021; 33 (2)
Case-1 and case-2 interval-censored failure time data commonly occur in medical research as well as other fields and many methods have been developed ......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2021; 33 (2)
This paper is devoted to the estimation of partial derivatives of multivariate density functions. In this regard, nonparametric linear wavelet-based e......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2021; 33 (1)
In this paper, we first present the symmetric property of the extropy of record values and some characterisations of exponential distributions. Then a......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2021; 33 (1)
In this paper, we study the variable selection and parameter estimation for the semiparametric varying-coefficient partially linear models when the co......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2021; 33 (2)
To ameliorate some drawbacks of Martingale Difference Correlation (MDC) such as the asymmetry in the sense that for a pair of vectors, the value of MD......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2021; 33 (1)
Shape constrained additive models are useful in estimating production functions or analysing disease risk where the relationship between predictors an......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2021; 33 (2)
In this article, we focus on the efficient estimation in single-index models with heteroscedastic errors. We first develop a nonparametric estimator o......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2021; 33 (2)
Quantile treatment effects are often considered in a quantile regression framework to adjust for the effect of covariates. In this study, we focus on ......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, ; ()
In this paper, we consider the empirical likelihood inferences for a class of varying coefficient ARCH-M models, which is an extended version of param......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2020; 32 (3)
In this paper, we consider semiparametric efficient inferences in the generalised partially linear models. A novel bias-corrected estimating procedure......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2020; 32 (4)
This paper is concerned with the estimating problem of heteroscedastic semiparametric regression model. We investigate the asymptotic normality for wa......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2020; 32 (1)
Bivariate current status data occur in many areas and many authors have discussed their analysis and proposed many inference procedures [Jewell, N.P.,......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2020; 32 (2)
Production frontier is an important concept in modern economics and has been widely used to measure production efficiency. Existing nonparametric fron......
期刊： JOURNAL OF NONPARAMETRIC STATISTICS, 2019; 31 (1)
We propose a new estimation method to estimate the nonparametric functions in additive models, where the response is subject to fixed censoring. Under......
