Nabaz Esmailzadeh

Nabaz Esmailzadeh
University of Kurdistan | UoK · Department of Statistics

PhD

About

10
Publications
525
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41
Citations
Additional affiliations
September 2009 - present
University of Kurdistan
Position
  • Professor (Assistant)

Publications

Publications (10)
Article
Full-text available
Application of fractional factorial design is common in experiments with a large number of factors. Choosing the appropriate fraction is an important issue in the fractional designs literature. There are different criteria based on different perspectives. In this paper, a criterion based on minimization of a weighted function of the mean squared er...
Article
The test of homogeneity of variances arises in various statistical problems. In this paper, we compared five Levene-type tests including Levene’s test, Welch’s test, James’s test, Brown and Forsythe’s test and Alexander–Govern’s test in terms of power and size. The simulation results show that the bootstrapping after applying Noguchi and Gel (J Non...
Article
We consider problem of constructing search designs for 3m factorial designs. By using projection properties of some three-level orthogonal arrays, some search designs are obtained for 3 ≤ m ≤ 11. The new obtained orthogonal search designs are capable to search and identify up to four 2-factor interactions and estimate them along with the general me...
Article
Full-text available
Since the introduction of the search design by Srivastava [Designs for searching non-negligible effects. In: Srivastava, editor. A survey of statistical design and linear models. Amsterdam: North-Holland, Elsevier; 1975. p. 507–519], construction of such designs has been considered by many researchers. The efficient performances of constructed sear...
Article
The aim of this study was to investigate role of the N-Methyl-D-Aspartate (NMDA) receptors in the decrease of morphine analgesia in mice after nociceptive sensitization. We used a hot plate test to assess effects of morphine on pain behavior in male NMRI mice. All drugs were administered through an intraperitoneal route. Sensitization schedule comp...
Article
Full-text available
In a 2(m) factorial design, search designs are consider for searching and estimating some non-zero interactions based on search linear models. There are some criteria for comparing search designs. Computing these criteria is a heavy task. In this paper, we provide the SD package for the numerical computing environment MATLAB to compute these criter...
Article
Full-text available
This paper considers the search problem, introduced by Srivastava [10]. This is a model discrimination problem. In the context of search linear models, discrimination ability of search de- signs has been studied by several researchers. Some criteria have been developed to measure this capability, however, they are re- stricted in a sense of being a...
Article
An MEP.1 plan for a 2m factorial experiment is able to search and estimate one possible nonzero interaction effect along with estimating the general mean and main effects. Construction of such a plan has been tackled by several authors. Some of these works are developed for all m, in which are focused on m=2h−1 or m=4λ−1 for positive integers h>2 a...
Article
Search design is searching and estimating for a few non zero effects in a large set of effects along with estimation of elements in a set of unknown parameters. In presence of noise, the probability of discrimination between the true non zero effect from an alternative one depends on the design and an unknown parameter, say ρ. We develop a new crit...

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