28 citations · 39 across the 10 of their papers we have counts for
7 papers · 1 filter
Improving efficiency in fuzzy regression modeling by Stein-type shrinkage
M. Kashani, M. Arashi, M. R. Rabiei
The fuzzy linear regression (FLR) modeling was first proposed making use of linear programming and then followed by many improvements in a variety of ways. In almost all approaches…
Some theoretical results on tensor elliptical distribution
M. Arashi
The multilinear normal distribution is a widely used tool in tensor analysis of magnetic resonance imaging (MRI). Diffusion tensor MRI provides a statistical estimate of a symmetri…
Preliminary testing derivatives of a linear unified estimator in the logistic regression model
Yasin Asar, Bahadır Yüzbaşı, Mohammad Arashi +1
Recently, the well known Liu estimator (Liu, 1993) is attracted researcher's attention in regression parameter estimation for an ill conditioned linear model. It is also argued tha…
A sure independence screening procedure for ultra-high dimensional partially linear additive models
M. Kazemi, D. Shahsavani, M. Arashi
We introduce a two-step procedure, in the context of ultra-high dimensional additive models, which aims to reduce the size of covariates vector and distinguish linear and nonlinear…
On the restricted almost unbiased Liu estimator in the Logistic regression model
Jibo Wu, Yasin Asar, M. Arashi
It is known that when the multicollinearity exists in the logistic regression model, variance of maximum likelihood estimator is unstable. As a remedy, in the context of biased shr…
Restricted LASSO and Double Shrinking
M. Norouzirad, M. Arashi, A. K. Md. Ehsanes Saleh
In the context of multiple regression model, suppose that the vector parameter of interest βis subjected to lie in the subspace hypothesis Hβ= h, where this restriction is based on…