Objective: This paper aims to introduce a modified kernel-type ridge estimator for partially linear models under randomly-right censored data. Such models include two main issues that need to be solved: multi-collinearity and censorship. To address these issues, we improved the kernel estimator based on synthetic data transformation and kNN imputation techniques. The key idea of this paper is t...

Introduction: The idea that factors during early critical periods of life affect on long term health is now a major public health concern. In this study, in addition to investigating obesity prevalence among female high school students in Yazd, the relationship between obesity and birth weight was examined. Materials and Methods: This cross sectional study was conducted on 312 female high scho...

The Beibu Gulf in China is rich fish resources. However, only a small number of commercially developed stocks have been specifically assessed owing to limited data and expertise. In this study, 19 perciform populations the were using length-based Bayesian biomass (LBB) estimator method, which new approach evaluate fishery’s status length frequency (LF) data. results showed that 21% evaluated he...

This note focuses on estimating the quantile function based on the kernel smooth estimator under a truncated dependent model. The Bahadurtype representation of the kernel smooth estimator is established, and from the Bahadur representation it can be seen that this estimator is strongly consistent.

cystic fibrosis (cf) is an autosomal recessive disease, which affects many organs as it impairs chloride channel. this study was performed to evaluate growth status and its relationship with some laboratory indices such as cholesterol (chol), triglyceride (tg), albumin and total protein in children with cf referred to pediatrics center. this study was designed as a cross-sectional study in one ...

In this paper, a novel stator current based Model Reference Adaptive System (MRAS) estimator for speed estimation in the speed-sensorless vector controlled induction motor drives is presented. In the proposed MRAS estimator, measured stator current of the induction motor is considered as a reference model. The estimated stator current is produced in an adjustable model to compare with the measu...

In this paper an estimator for speech enhancement based on Laplacian Mixture Model has been proposed. The proposed method, estimates the complex DFT coefficients of clean speech from noisy speech using the MMSE  estimator, when the clean speech DFT coefficients are supposed mixture of Laplacians and the DFT coefficients of  noise are assumed zero-mean Gaussian distribution. Furthermore, the MMS...

Assuming a first-order auto-regressive model for the auto-correlation structure between observations, in this paper, a transformation method is first employed to eliminate the effect of auto-correlation. Then, a maximum likelihood estimator (MLE) of a step change in the parameters of the transformed model is derived and three separate EWMA control charts are used to monitor the parameters of th...