N.A. Al-Odat
Author's titles
Moving extreme ranked set sampling for simple linear regression
Free
digital

Year:
2009
The moving extreme ranked set sampling, introduced by Alodat and Al-Saleh (2001), is a modification of the well known ranked set sampling approach that was proposed by McIntyre (1952). In this paper, we suggest new estimators for the simple linear regression parameters under the moving extreme ranked set sampling scheme. Moreover, we show that the proposed estimators are more efficient than their counterparts using the simple random sampling approach. We illustrate our ideas
and thoughts via simulation and data analysis and conduct a comparison between our approach and the traditional ones.
Keywords: Moving ranked set sampling, Ranked set sampling, Simple linear regression.
Estimation of power function distribution with application to ecological relative abundance
Free
digital

Year:
2008
In this paper we derive Bayesian and non-Bayesian estimators for the parameter of the power function
distribution, and prediction intervals for the maximum of a future sample. We apply our approach
to field data of plant species relative abundance, the abundance of a given species divided
by the total abundance of all plant species in given a community, collected in a biodiversity project
in central Europe.
Browse the archive
Online First Articles
A Data-Driven Approach to Multivariate Monte Carlo Simulation
Application of Nonparametric Stability Methods in Chickpea (Cicer Arietinum L.) Crop Under Diverse Environments
Application of Nonparametric Stability Methods in Chickpea (Cicer Arietinum L.) Crop Under Diverse Environments
Recent issues
STATISTICA & APPLICAZIONI - 2021 - 2
STATISTICA & APPLICAZIONI - 2021 - 1
STATISTICA & APPLICAZIONI - 2020 - 2
STATISTICA & APPLICAZIONI - 2021 - 1
STATISTICA & APPLICAZIONI - 2020 - 2