期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2021; 105 (3)
This paper considers the construction of optimal designs for homoscedastic functional polynomial measurement error models. The general equivalence the......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2021; 105 (1)
Unified approach (Chen and Chen in J R Stat Soc B 62(3):449-460, 2000) uses a working regression model to extract information from auxiliary variables......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2020; 104 (4)
Bayesian sensitivity analysis of unmeasured confounding is proposed for observational data with misclassified outcome. The approach simultaneously cor......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2020; 104 (3)
This paper studies an observation-driven model for time series of counts, in which the observations are supposed to follow a negative binomial distrib......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2020; 104 (4)
In this paper, we study penalized empirical likelihood for parameter estimation and variable selection in partially linear models with measurement err......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2019; 103 (1)
In this paper, we consider the single-index measurement error model with mismeasured covariates in the nonparametric part. To solve the problem, we de......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2019; 103 (4)
We propose a new estimation procedure for estimating the unknown parameters and function in partial functional linear regression. The asymptotic distr......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 0; ()
We consider six variants of (local) Whittle estimators of the fractional order of integration d. They follow a limiting normal distribution under stat......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2018; 102 (1)
In this paper, the strong laws of large numbers for partial sums and weighted sums of negatively superadditive-dependent (NSD, in short) random variab......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2018; 102 (3)
Research on the multiple comparison during the past 60 years or so has focused mainly on the comparison of several population means. Spurrier (J Am St......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2018; 102 (3)
In this paper, we introduce a first-order random coefficient integer-valued threshold autoregressive process, which is based on binomial thinning. Bas......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2018; 102 (4)
This paper develops a varying-coefficient approach to the estimation and testing of regression quantiles under randomly truncated data. In order to ha......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2017; 101 (1)
This paper studies smoothed quantile linear regression models with response data missing at random. Three smoothed quantile empirical likelihood ratio......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2017; 101 (3)
Under a proper restriction, we establish the minimum volume confidence set (interval and region) for parameter of any normal distribution. Compared wi......
期刊： ASTA-ADVANCES IN STATISTICAL ANALYSIS, 2017; 101 (3)
Mixtures of t-factor analyzers have been broadly used for model-based density estimation and clustering of high-dimensional data from a heterogeneous ......
