US yield curve dynamics are subject to time-variation, but there is ambiguity about its precise form. This paper develops a vector autoregressive (VAR) model with time-varying parameters and stochastic volatility, which treats the nature of parameter as unknown. Coefficients can evolve according random walk, Markov switching process, observed predictors, or depend on mixture these. To decide fo...

This interesting study is similar to the study by Bazant and Najjar (1973) [extensively reviewed in Section 5.5 of Bazant (1975)], which apparently escaped the attention of the authors. However, the conclusion in which the authors recommend the effective modulus method, is different. It appears unwarranted and conflicts with more extensive evidence. The authors dismiss the age-adjusted effectiv...

Array-based comparative genomic hybridization (aCGH) has merged as a highly efficient technique for the detection of chromosomal imbalances. Characteristics of these DNA copy number aberrations provide the insights into cancer, and they are useful for the diagnostic and therapy strategies. In this article, we propose a statistical bivariate model for aCGH data in the stationary wavelet packet t...

Microarray is a powerful tool for genome-wide gene expression analysis. In microarray expression data, often mean and variance have certain relationships. We present a non-parametric mean-variance smoothing method (NPMVS) to analyze differentially expressed genes. In this method, a nonlinear smoothing curve is fitted to estimate the relationship between mean and variance. Inference is then made...

Background and Aim: Minimizing the polymerization shrinkage of composite resins is a critical goals in composite restorations. Many factors affect polymerization shrinkage. This study aimed to evaluate the effect of composite resin shade on polymerization shrinkage. Materials and Methods: In this in vitro study, 14 composite discs measuring 1.5×8 mm were fabricated. The samples were prepared u...

In the context of ridge regression, the estimation of ridge (shrinkage) parameter plays an important role in analyzing data. Many efforts have been put to develop skills and methods of computing shrinkage estimators for different full-parametric ridge regression approaches, using eigenvalues. However, the estimation of shrinkage parameter is neglected for semiparametric regression models. The m...

objective: potato is the fourth important food crop after wheat, rice and maize. shrinkage  of  food  materials  has  a negative  consequence  on  the  quality  of  the dehydrated product. the main objective pursued in this paper is to investigate the shrinkage amount of potato slices during drying process using vacuum-infrared method. methods: in this work, the effect of the infrared radiation...

Objective: Potato is the fourth important food crop after wheat, rice and maize. Shrinkage  of  food  materials  has  a negative  consequence  on  the  quality  of  the dehydrated product. The main objective pursued in this paper is to investigate the shrinkage amount of potato slices during drying process using vacuum-infrared method. Methods: In this work, the effect of the infrared radiation...