Estimating the Correlation Coefficient in a Bivariate Normal Distribution Using Moving Extreme Ranked Set Sampling with a Concomitant Variable

Mohammad Fraiwan AL-Saleh,Ahmad Mohammad Al-Ananbeh 한국통계학회 2005 Journal of the Korean Statistical Society Vol.34 No.2

In this paper, we consider the estimation of the correlation coefficient in the bivariate normal distribution, based on a sample obtained using a modi- fication of the moving extreme ranked set sampling technique (MERSS) that was introduced by Al-Saleh and Al-Hadhrami (2003a). The modification involves using a concomitant random variable. Nonparametric-type methods as well as the maximum likelihood estimation are considered under different settings. The obtained estimators are compared to their counterparts that are obtained based simple random sampling (SRS). It appears that the suggested estimators are more efficient

Other approaches to bivariate ranked set sampling

Al-Saleh, Mohammad Fraiwan,Alshboul, Hadeel Mohammad The Korean Statistical Society 2018 Communications for statistical applications and me Vol.25 No.3

Ranked set sampling, as introduced by McIntyre (Australian Journal of Agriculture Research, 3, 385-390, 1952), dealt with the estimation of the mean of one population. To deal with two or more variables, different forms of bivariate and multivariate ranked set sampling were suggested. For a technique to be useful, it should be easy to implement in practice. Bivariate ranked set sampling, as introduced by Al-Saleh and Zheng (Australian & New Zealand Journal of Statistics, 44, 221-232, 2002), is not easy to implement in practice, because it requires the judgment ranking of each of the combination of the order statistics of the two characteristics. This paper investigates two modifications that make the method easier to use. The first modification is based on ranking one variable and noting the rank of the other variable for one cycle, and do the reverse for another cycle. The second approach is based on ranking of one variable and giving the second variable the same rank (Concomitant Order Statistic) for one cycle and do the reverse for the other cycle. The two procedures are investigated for an estimation of the means of some well-known distributions. It is show that the suggested approaches can be used in practice and can be more efficient than using SRS. A real data set is used to illustrate the procedure.

ESTIMATING THE CORRELATION COEFFICIENT IN A BIVARIATE NORMAL DISTRIBUTION USING MOVING EXTREME RANKED SET SAMPLING WITH A CONCOMITANT VARIABLE

AL-SALEH MOHAMMAD FRAIWAN,AL-ANANBEH AHMAD MOHAMMAD The Korean Statistical Society 2005 Journal of the Korean Statistical Society Vol.34 No.2

In this paper, we consider the estimation of the correlation coefficient in the bivariate normal distribution, based on a sample obtained using a modification of the moving extreme ranked set sampling technique (MERSS) that was introduced by Al-Saleh and Al-Hadhrami (2003a). The modification involves using a concomitant random variable. Nonparametric-type methods as well as the maximum likelihood estimation are considered under different settings. The obtained estimators are compared to their counterparts that are obtained based simple random sampling (SRS). It appears that the suggested estimators are more efficient

Modification of Activated Carbon Using Nitration Followed by Reduction for Carbon Dioxide Capture

Mohammad Saleh Shafeeyan,Amirhossein Houshmand,Arash Arami-Niya,Hosain Razaghizadeh,Wan Mohd Ashri Wan Daud 대한화학회 2015 Bulletin of the Korean Chemical Society Vol.36 No.2

Activated carbon (AC) samples were modified using nitration followed by reduction to enhance their CO2 adsorption capacities. Besides characterization of the samples, investigation of CO2 capture performance was conducted by CO2 isothermal adsorption, temperature-programmed (TP) CO2 adsorption, cyclic CO2 adsorption–desorption, and dynamic CO2 adsorption tests. Almost all modified samples showed a rise in the amount of CO2 adsorbed when the comparison is made in unit surface area. On the other hand, some of the samples displayed a capacity superior to that of the parent material when compared in mass unit, especially at elevated temperatures. Despite ~65% decrease in the surface area, TP-CO2 adsorption of the best samples exhibited increases of ~10 and 70% in CO2 capture capacity at 30 and 100 °C, respectively.

Impact of Big Five Model on Leadership Initiation in Critical Business Environment Among Marketing Executives

Mohammad Saleh MIRALAM,Nasir ALI,Vikram JEET 한국유통과학회 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.11

The present research intends to examine the relationship between the Big Five personality traits and leadership initiations among the marketing executives in Delhi NCR (INDIA), and seeks to uncover the predictors of leadership initiations within personality traits. The data are collected through online survey method using different social media platforms. A sample of 233 (male =136 and female =97) marketing executive’s responses were included. The data collected with the help of self-reported Big Five model inventory and leadership initiation test. The collected data were analyzed statistically by using descriptive statistics, correlation. and stepwise multiple regression analysis. The results revealed that the age of respondents inversely correlated with leadership initiation. Neuroticism revealed significant inverse correlation with leadership initiation, whereas significant positive correlations were found between extraversion, conscientiousness, agreeableness, and leadership initiations, while openness to experience revealed insignificant positive correlation with leadership initiation. Extraversion and conscientiousness appeared as the most dominant personality traits among marketing executives, irrespective of gender, that positively influenced leadership initiation and appeared as the predictor of leadership initiation. In male executives extraversion and age emerged as the predictors of leadership behavior, while in female executives extraversion and openness to experience personality traits appeared as the predictors of leadership initiation.

Mechanical Behavior of 3D Orthogonal Woven Jute-polyester Hybrid Composites

Mohammad Hasan Boroomand,Aliasghar Alamdar-Yazdi,Mohammad Saleh Ahmadi 한국섬유공학회 2022 Fibers and polymers Vol.23 No.12

3D composites have some advantages such as higher resistance to delamination over 2D composites. Jute fiberreinforcedcomposites have received a lot of attention in recent years due to their lightness, biodegradability, and low price. These composites, on the other hand, have relatively low mechanical properties and in many cases brittle behavior. In thisresearch hybridizing jute with high tenacity polyester fibers was considered as a solution for these problems. Six types of 3Dorthogonal hybrid woven fabrics from jute and high tenacity polyester yarns with various hybridization ratios were producedand then converted to 3D composites by vacuum infusion process (VIP) using unsaturated polyester resin. The effect ofhybridization on tensile, flexural, and impact properties of 3D orthogonal woven jute-polyester hybrid composites withunsaturated polyester matrices is investigated. The results showed that increasing the percentage of polyester fibers (25 %),tensile strength (30.5 %), impact resistance (24 %), and flexural modulus (25 %) increased, but flexural strength (13 %) andtensile modulus (43 %) decreased. Moreover, higher flexibility and strain rate of polyester fibers prevent sudden fracture ofthe hybrid composites. Placement of polyester fibers in the outer layers of hybrid composite samples has a better effect on theflexural strength and impact resistance of composites than placement in the middle layers. Comparing the mechanicalproperties of 3D orthogonal woven jute-polyester hybrid composites samples, it was observed that the sample contained70 % jute and 30 % polyester (P3JF) had the highest flexural strength and impact resistance which were 25 % and 48 %higher than the sample containing 100 % jute (J), respectively. Moreover, the samples that contain 50 % jute and 50 %polyester (PJJP and JPPJ) had the highest tensile strength among the samples. The sample that contains 80 % jute and 20 %polyester (P3J7) has the highest flexural modulus, which is 50 % higher than the J sample. The fracture surfaces of thecomposites were observed under a scanning electron microscope (SEM) and the fiber-matrix adhesion was analyzed.

Artificial neural network-based sodium nitrite NQR analysis in an urban noisy environment

Mohammad Saleh Sharifi A. M.,Hossein Afarideh,Mitra Ghergherehchi,Mehdi Simiari 한국물리학회 2023 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.83 No.3

Using the nuclear quadrupole resonance procedure in non-shielded environments requires special measures. For this purpose, noise reduction and interference suppression algorithms have been used to increase signal-to-noise and interference ratio or SNIR. For this aim, two types of antennas are considered, the ferrite core coil antenna as the main antenna receives the free induction decay or FID signal, radio frequency interference or RFI, and noise, and the omnidirectional auxiliary antenna receives the RFI and noise as the algorithm reference noise. To perform the noise and interference cancelation, the weighting factors in auxiliary antenna data are so important, that an artifcial neural network or ANN model has been used to increase the SNIR. In this research, sodium nitrite has been used as a sample, then algorithms have been tested in a nonshielded environment. The resonant frequency of the 200 g sample, by the signal-to-noise ratio improvement of 18.889 dB, the signal-to-interference ratio improvement of 24.819 dB, and the FID signal amplifcation of 16.925 dB, were measured at 4.649 MHz. The main technique in this study was to use an auxiliary antenna to estimate the noise and interference and compute the learned weighting factor before sending the NQR pulse.

In Search of Regularities in Persian Translation of 'Substitution' PRO-forms

Mohammad Saleh SANATIF AR 한국통역번역학회 2014 FORUM Vol.12 No.2

Cette etude cherche surtout a decrire et formuler les paradigmes de texte en traduction de substitution PRO-formes comme un element important de Ia cohesion dans Ia production et Ia comprehension de texte. A cet effet, cette etude reflechit d'abord sur les strategies que les traducteurs utilisent pour traduire les substitutions PRO-formes et leurs constituants en persique. Cadre analytique de Ia cohesion d'Hallyday et Hasan ainsi que celui de Quirk et al. sert comme une directive pour !'analyse de substitution PRO- formes dans le texte initial. Pour analyser et decrire le texte de Ia traduction, le chercheur a extrait les substitutions PRO-formes et les a compare avec leurs equivalents en reference a Ia categorie syntaxique des strategies de traduction de Chesterman. Le drame « Man and Superman » par George B. Shaw est selectionne comme le corps d'etude. Les resultats d'etudes indiquent que les quatre strategies de traduction d'echange de Ia cohesion, Ia traduction litterale, l'echange de Ia structure de phrase et le deplacement des unites soot utilises plus souvent ainsi individuellement qu'en combinaison. Finalement, base sur les decouvertes, on a formule huit paradigmes reguliers de Ia traduction de substitution PRO-formes en Persique.

Changes in the pharyngeal airway after different orthognathic procedures for correction of class III dysplasia

Mohammad Saleh Khaghaninejad,Leila Khojastehpour,Hossein Danesteh,Mehdi Changizi,Farzaneh Ahrari 대한악안면성형재건외과학회 2022 Maxillofacial Plastic Reconstructive Surgery Vol.44 No.-

Objective: This study was conducted to compare changes in pharyngeal airway after different orthognathic procedures in subjects with class III deformity. Methods: The study included CBCT scans of 48 skeletal class III patients (29 females and 19 males, mean age 23.50 years) who underwent orthognathic surgery in conjunction with orthodontic treatment. The participants were divided into three groups of 16, as follows: Group 1, mandibular setback surgery; group 2, combined mandibular setback and maxillary advancement surgery; and group 3, maxillary advancement surgery. CBCT images were taken 1 day before surgery (T0), 1 day (T1), and 6 months (T2) later. The dimensions of the velopharynx, oropharynx, and hypopharynx were measured in CBCT images. Results: In all groups, there was a significant decrease in airway variables immediately after surgery, with a significant reversal 6 months later (P < 0.05). In subjects who underwent maxillary advancement, the airway dimensions were significantly greater at T2 than the T0 time point (P < 0.05), whereas in the mandibular setback and bimaxillary surgery groups, the T2 values were lower than the baseline examination (P < 0.05). The alterations in airway variables were significantly different between the study groups (P < 0.05). Conclusions: The mandibular setback procedure caused the greatest reduction in the pharyngeal airway, followed by the bimaxillary surgery and maxillary advancement groups, with the latter exhibiting an actual increase in the pharyngeal airway dimensions. It is recommended to prefer a two-jaw operation instead of a mandibular setback alone for correction of the prognathic mandible in subjects with predisposing factors to the development of sleepdisordered breathing.

Model Predictive Control-Based Smart Linear Servo-Motor Driver for a Resonance Frequency Tuner of Azimuth Variable Field Cyclotrons

Mohammad Saleh Sharifi Asadi,Hosein Afarideh,Mitra Ghergherechi,Jong Seo Chai 한국물리학회 2020 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.76 No.7

The most important thing in the startup procedure or the long-term operation of radio frequency (RF) cyclotrons especially azimuth variable field (AVF) cyclotrons, is the resonance frequency stability of the cavities. Generally, servo-motors or stepper motors are used to adjust the tuners of cavities. Actually, proportional-integral-derivative (PID) controller-based servo-motor drivers have many problems for long-term operation, such as the tuner's temperature dependence, shot noise, and so on. Our model predictive controller (MPC) or MPC-based smart linear servo-motor driver in a multi-input and single-output state, with artificial intelligence (AI), can solve usual and unusual problems in order to control the speed and/or position. In other words, the MPC is a progressive strategy of process control to control the process and provides satisfaction limitations. Additionally, this real-time controller can reduces the time needed for the startup procedure and minimizes the number of failures during long-term operation.