It is well-known that successive residuals may be correlated with each other, and serial
correlation usually result in an inefficient estimate in time series analysis. In this paper, we …

In this article, we consider a partially linear single-index model Y= g (Z τθ0)+ X τβ0+ ϵ when
the covariate X may be missing at random. We propose weighted estimators for the …

This article considers testing serial correlation in partially linear additive errors-in-variables
model. Based on the empirical likelihood based approach, a test statistic was proposed, and …

This paper considers the problem of testing independence of equations in a seemingly
unrelated regression model. A novel empirical likelihood test approach is proposed, and …

In this paper, we investigate the testing for serial correlation in a linear model with validation
data, then we apply the empirical likelihood method to construct the test statistic and derive …

Partially varying coefficient single-index models (PVCSIM) are a class of semiparametric
regression models. One important assumption is that the model error is independently and …

This article investigates the testing for serial correlation in partially linear models with
validation data and applies the empirical likelihood methods to construct serial tests …

In this paper, we present two test statistics for assessing white noise assumption with semi-
parametric additive partial linear models. The test statistics are shown to have asymptotic …

In this article, we propose two testing procedures for the serial correlation in single index
models by virtue of B spline approximation for unknown single index function. Under some …

The paper considers the problem of testing error serial correlation of partially linear additive
measurement error model. We propose a test statistic and show that it converges to the …