ABSTRACT In this study, we propose a new single acceptance sampling plan from truncated life test assuming that the quality characteristics follow the Tsallis q-exponential distribution. The proposed plan is given, and then we derived the... more
ABSTRACT In this study, we propose a new single acceptance sampling plan from truncated life test assuming that the quality characteristics follow the Tsallis q-exponential distribution. The proposed plan is given, and then we derived the operation characteristics function and calculate the optimal sample size and producer’'s risk for some given parameter values to measure the performance of this plan. Also, a comparative study with other sampling plan is discussed to show the benefit of the proposed plan, and real data analysis is given to illustrate the applicability of the proposed plan in the industry.
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A single acceptance sampling plan for the three-parameter Lindley distribution under a truncated life test is developed. For various consumer’s confidence levels, acceptance numbers, and values of the ratio of the experimental time to the... more
A single acceptance sampling plan for the three-parameter Lindley distribution under a truncated life test is developed. For various consumer’s confidence levels, acceptance numbers, and values of the ratio of the experimental time to the specified average lifetime, the minimum sample size important to assert a certain average lifetime are calculated. The operating characteristic (OC) function values as well as the associated producer’s risks are also provided. A numerical example is presented to illustrate the suggested acceptance sampling plans.
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This paper studies estimation of the parameters of the generalized Gompertz distribution based on ranked-set sample (RSS). Maximum likelihood (ML) and Bayesian approaches are considered. Approximate confidence intervals for the unknown... more
This paper studies estimation of the parameters of the generalized Gompertz distribution based on ranked-set sample (RSS). Maximum likelihood (ML) and Bayesian approaches are considered. Approximate confidence intervals for the unknown parameters are constructed using both the normal approximation to the asymptotic distribution of the ML estimators and bootstrapping methods. Bayes estimates and credible intervals of the unknown parameters are obtained using differential evolution Markov chain Monte Carlo and Lindley’s methods. The proposed methods are compared via Monte Carlo simulations studies and an example employing real data. The performance of both ML and Bayes estimates is improved under RSS compared with simple random sample (SRS) regardless of the sample size. Bayes estimates outperform the ML estimates for small samples, while it is the other way around for moderate and large samples.
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In this paper, acceptance sampling plans are developed when the life test is truncated at a pre-assigned time. For different acceptance numbers, confidence levels and values of the ratio of the fixed experiment time to the specified... more
In this paper, acceptance sampling plans are developed when the life test is truncated at a pre-assigned time. For different acceptance numbers, confidence levels and values of the ratio of the fixed experiment time to the specified average life time, the minimum sample sizes required to ensure the specified average life are calculate assuming that the life time variate of the test units follows a two-parameter Quasi Lindley distribution (QLD(2)). The operating characteristic function values of the new sampling plans and the corresponding producer's risk are presented.
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A double acceptance sampling plan (DASP) based on truncated life tests is suggested in this paper when the lifetime of a product follows the exponentiated generalized inverse Rayleigh distribution (EGIR). For a fixed value of the... more
A double acceptance sampling plan (DASP) based on truncated life tests is suggested in this paper when the lifetime of a product follows the exponentiated generalized inverse Rayleigh distribution (EGIR). For a fixed value of the consumer’s confidence level, the minimum sample sizes of the first and second samples needed to ensure the specified mean life are obtained. The operating characteristic values according to the different quality levels are obtained and the minimum ratios of the mean life to the specified life are calculated. The important tables based on the suggested DASP are calculated and illustrated.
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Page 1. Electronic copy available at: http://ssrn.com/abstract=1993102 1 A Job Satisfaction Structural Equation Model Obtained Combining Rasch Analysis and Generalized Maximum Entropy Estimation Enrico Ciavolino, Maurzio Carpita, Amjad D.... more
Page 1. Electronic copy available at: http://ssrn.com/abstract=1993102 1 A Job Satisfaction Structural Equation Model Obtained Combining Rasch Analysis and Generalized Maximum Entropy Estimation Enrico Ciavolino, Maurzio Carpita, Amjad D. Al-Nasser * Abstract The objective of this paper is to describe and analyze with appropriate statistical models the links between the work quality latent factors using data from a recent Survey on the Italian Social Cooperatives known as ICSI2007. ...
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Much has been written in the past few years on customer satisfaction. Traditional approaches to customer satisfaction, however, have been too narrow in scope in the way satisfaction is measured. Most instruments to measure customer... more
Much has been written in the past few years on customer satisfaction. Traditional approaches to customer satisfaction, however, have been too narrow in scope in the way satisfaction is measured. Most instruments to measure customer satisfaction are not sensitive to the fact that a customer's voice has a wide spectrum and goes beyond the single note of satisfaction or happiness. Most approaches fail to link customer satisfaction to drivers of loyalty and market share and to processes that contribute to pro® tability. Traditional ...
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This article proposes using an information theoretic procedure in order to obtain an unbiased weighted mean estimator for the population mean when the data collection structure is truncated-based ranked set sampling. The performance of... more
This article proposes using an information theoretic procedure in order to obtain an unbiased weighted mean estimator for the population mean when the data collection structure is truncated-based ranked set sampling. The performance of the proposed estimator is discussed along with its properties, and the optimal weights are computed by maximizing Shannon’s entropy. It is found that the weighted truncated-based ranked set sampling estimator is more accurate and more efficient than its unweighted counterpart or the simple random sampling-based estimators.
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In this article, a robust ranked set sampling (LRSS) scheme for estimating population mean is introduced. The proposed method is a generalization for many types of ranked set sampling that introduced in the literature for estimating the... more
In this article, a robust ranked set sampling (LRSS) scheme for estimating population mean is introduced. The proposed method is a generalization for many types of ranked set sampling that introduced in the literature for estimating the population mean. It is shown that the LRSS method gives unbiased estimator for the population mean with minimum variance providing that the underlying distribution is symmetric. However, for skewed distributions a weighted mean is given, where the optimal weights is computed by using Shannon's ...
Research Interests: Mathematics, Computer Science, Monte Carlo, Entropy, Ranked Set Sampling, and 15 moreGeneralization, Sampling, Numerical Simulation, Mathematical Sciences, Minimum variance, Application, Outliers, Shannon entropy, Simple Random Sampling, Monte Carlo Method, Relative Efficiency, Entropie, Outlier, Sampling Distribution, and Distribution Function
PurposeThe purpose of this paper is to provide a robust statistical procedure for evaluating and measuring the relative efficiency of multiple decision‐making units. This robust approach is based on the generalized maximum entropy... more
PurposeThe purpose of this paper is to provide a robust statistical procedure for evaluating and measuring the relative efficiency of multiple decision‐making units. This robust approach is based on the generalized maximum entropy principle.Design/methodology/approachInformation‐theoretic estimation approach is employed in this paper and a comparison is made with the classical relative efficiency (CCR) by using a non‐parametric bootstrap simulation. A real data application on the research performance of faculty members at Yarmouk University is presented.FindingsResults indicate that the relative efficiency based on the generalized maximum entropy estimation approach is more accurate, costs less and is more efficient than the CCR relative efficiency.Research limitations/implicationsOwing to use of Shannon's entropy formulation, it is still critical whether the results also hold with cross entropy or a higher order entropy formulation for modeling additive, multiplicative or parti...
Research Interests: Mathematics, Computer Science, Data Analysis, Nonlinear Programming, Robust Statistics, and 14 moreData Envelopment Analysis, Decision support system, Higher Order Thinking, Business and Management, Generalized Maximum Entropy, Manufacturing Engineering, Design Methodology, Efficiency, Cross Entropy, Input Output, Relative Efficiency, Kullback-Leibler divergence, Higher order, and Principle of maximum entropy
... PARTAGER / SHARE. EXPORT. ... Titre du document / Document title. On M [x] /(G 1 G 2 )/1 queue with optional re-service Auteur(s) / Author(s). MADAN Kailash C. (1) ; AL-NASSER Amjad D. (1) ; AL-MASRI Abedel-Qader (1) ; Affiliation(s)... more
... PARTAGER / SHARE. EXPORT. ... Titre du document / Document title. On M [x] /(G 1 G 2 )/1 queue with optional re-service Auteur(s) / Author(s). MADAN Kailash C. (1) ; AL-NASSER Amjad D. (1) ; AL-MASRI Abedel-Qader (1) ; Affiliation(s) du ou des auteurs / Author(s) Affiliation(s). ...
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In this paper, the idea of generalized maximum entropy estimation approach (Golan et al. 1996) is used to fit the general linear measurement error model. A Monte Carlo comparison is made with the classical maximum likelihood estimation... more
In this paper, the idea of generalized maximum entropy estimation approach (Golan et al. 1996) is used to fit the general linear measurement error model. A Monte Carlo comparison is made with the classical maximum likelihood estimation (MLE) method. The results showed that, the GME is outperformed the MLE estimators in terms of mean squared error. A real data analysis is also presented. Key words: Measurement Error Model, Generalized Maximum Entropy, Maximum Likelihood
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We are dealing with various wald-type estimators (Grouping method) for functional errors-in-variables model. Traditionally; wald-type estimators based on L-statistic (L-mean, L-median). In this paper we proposed a robust wald-type... more
We are dealing with various wald-type estimators (Grouping method) for functional errors-in-variables model. Traditionally; wald-type estimators based on L-statistic (L-mean, L-median). In this paper we proposed a robust wald-type estimators based on other L-statistic; namely, Trimmed and winsorized means. Two empirical examples are given. In addition to, A Monte Carlo comparisons in terms of mean square error are made with
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Objective: To investigate the frequencies of 9 autosomal Short Tandem Repeats (STR) loci in the Jordanian population and compare them with the frequencies in neighboring countries. Methods: DNA was extracted from the blood of 270... more
Objective: To investigate the frequencies of 9 autosomal Short Tandem Repeats (STR) loci in the Jordanian population and compare them with the frequencies in neighboring countries. Methods: DNA was extracted from the blood of 270 unrelated Jordanian individuals. CSFIPO, TPOX, THO1, F13AO1, FESFPS, vWA, D16S539, D7S820, D13S317 Markers were detected by amplifying the extracted genomic DNA using GenePrint™ STR Multiplex system. Results: For each Marker, 6-9 alleles were observed. Markers D7S820 ...
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The estimation of Maximum Entropy (ME) median variance based on odd samples is discussed. The estimated variance is given in a form that depends on an incomplete beta function. We show that the ME-median is more efficient than the sample... more
The estimation of Maximum Entropy (ME) median variance based on odd samples is discussed. The estimated variance is given in a form that depends on an incomplete beta function. We show that the ME-median is more efficient than the sample median for small ...
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The purpose of this research is to measure vehicle exhaust emissions emitted from exhaust gases of gasoline vehicles in Irbid Directorate. One thousand gasoline vehicles were tested for emissions of Carbon Monoxide (CO), Carbon Dioxide... more
The purpose of this research is to measure vehicle exhaust emissions emitted from exhaust gases of gasoline vehicles in Irbid Directorate. One thousand gasoline vehicles were tested for emissions of Carbon Monoxide (CO), Carbon Dioxide (CO 2), Oxygen (O 2), and Hydrocarbons (HC).
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In this paper, a data constrained generalized maximum entropy (GME) estimator for the general linear measurement error model is proposed. GME estimation, as developed by (A. Golan, G. Judge and D. Miller A Maximum Entropy Econometrics:... more
In this paper, a data constrained generalized maximum entropy (GME) estimator for the general linear measurement error model is proposed. GME estimation, as developed by (A. Golan, G. Judge and D. Miller A Maximum Entropy Econometrics: Robust Estimation with limited data (Wiley, New York, 1996)), was formulated as a convex mixed-integer nonlinear optimization problem. Shannon entropy measures and its generalization, namely 'entropy of order r'by Tsallis and Rényi are briefly discussed. A Monte Carlo comparison is made with ...
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Research Interests: Mathematics, Computer Science, Statistics, RSS, Population, and 3 moreSTAT, Estimator, and Stratified sampling
In medical emergency situations, the triage process allows patients in potentially life-threatening condition to receive the fastest and most appropriate medical treatment. Triage consists in an evaluation of patients’ medical condition... more
In medical emergency situations, the triage process allows patients in potentially life-threatening condition to receive the fastest and most appropriate medical treatment. Triage consists in an evaluation of patients’ medical condition on a colour-based scale, reflecting from major to minor urgency. Shannon’s entropy measures are applied to such process in order to evaluate concordance, overestimation and underestimation of triage codes assigned to patients in two different moments and by different health-care professionals: during the acceptance phase, by nurses (variable X), and by physicians after deepened diagnostic evaluation (variable Y). Entropy indexes were also used to compare the years 2016 and 2015, showing a little increment of equivocal transmission with respect to year 2015.
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In this chapter, the design of the Shewhart control chart based on ranked repetitive sampling is presented. The structure of the proposed control chart is given for the quality characteristic and follows the normal distribution. The... more
In this chapter, the design of the Shewhart control chart based on ranked repetitive sampling is presented. The structure of the proposed control chart is given for the quality characteristic and follows the normal distribution. The necessary measures of this chart are given to assess its performance. The performance of the chart is evaluated using the average run length over the existing control chart. The application of the chart is given through simulation and a real example.
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This article aims to estimate the population ratio using a multistage median ranked set sampling method. The mean squared errors and bias equations of the suggested estimators are obtained. The new estimators are compared with their... more
This article aims to estimate the population ratio using a multistage median ranked set sampling method. The mean squared errors and bias equations of the suggested estimators are obtained. The new estimators are compared with their counterparts using simple random sampling, ranked set sampling, and median ranked set sampling methods. A real data set is used for illustration. The results revealed that the multistage median ranked set sampling estimators are approximately unbiased in terms of the population ratio and their efficiencies increase in the number of stages for specific value of the sample size. Also, it is found that the multistage median ranked set sampling estimators are more efficient than their counterparts based on simple random sampling, ranked set sampling, and median ranked set sampling.
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There is a growing concern that reduction in hospital length of stay (LOS) may raise the rate of hospital readmission. This study aims to identify the rate of avoidable 30-day readmission and find out the association between LOS and... more
There is a growing concern that reduction in hospital length of stay (LOS) may raise the rate of hospital readmission. This study aims to identify the rate of avoidable 30-day readmission and find out the association between LOS and readmission. All consecutive patient admissions to the internal medicine services (n = 5,273) at King Abdullah University Hospital in Jordan between 1 December 2012 and 31 December 2013 were analyzed. To identify avoidable readmissions, a validated computerized algorithm called SQLape was used. The multinomial logistic regression was firstly employed. Then, detailed analysis was performed using the Decision Trees (DTs) model, one of the most widely used data mining algorithms in Clinical Decision Support Systems (CDSS). The potentially avoidable 30-day readmission rate was 44%, and patients with longer LOS were more likely to be readmitted avoidably. However, LOS had a significant negative effect on unavoidable readmissions. The avoidable readmission rat...
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An acceptance sampling plan for Gompertz distribution under a truncated life test is developed. For different acceptance numbers, consumer’s confidence levels and values of the ratio of the experimental time to the specified mean... more
An acceptance sampling plan for Gompertz distribution under a truncated life test is developed. For different acceptance numbers, consumer’s confidence levels and values of the ratio of the experimental time to the specified mean lifetime, the minimum sample sizes required to ensure the specified mean lifetime are obtained. The operating characteristic function values and the associated producer’s risks are also presented. An example is provided to illustrate the acceptance sampling plan.
Research Interests: Engineering, Mathematics, Computer Science, Statistics, Generalization, and 11 moreBusiness and Management, Sampling design, Industrial Mathematics, Exponential distribution, Acceptance Sampling, Weibull distribution, Inverse, Exponential Function, Test Plan, Gamma Distribution, and Rayleigh distribution
ABSTRACT The objective of this paper is to describe and analyse with appropriate statistical models the links between work quality latent factors. Due to the complexity of the task, the analysis is carried out through a two-step approach:... more
ABSTRACT The objective of this paper is to describe and analyse with appropriate statistical models the links between work quality latent factors. Due to the complexity of the task, the analysis is carried out through a two-step approach: In the first step, we construct some multidimensional measures of the subjective quality of work, using nonlinear principal component analysis (NPCA) and Rasch analysis with the Rating Scale Model (NPCA-RSM);In the second step, we adopt a Structural Equation Model based on generalized maximum entropy (SEM-GME) to integrate the measures achieved with the previous step and to evaluate the relationships between the subjective work quality latent factors.Therefore, the novel aspects of this paper are the following: (i) The integration between the NPCA-RSM and SEM-GME, which allows reduction of the variables analysed and evaluation of the measurement errors; (ii) The formalization of a Job Satisfaction Model for the study of the relationships between the subjective work quality latent factors in the Italian social services sector.
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A parallel data envelopment analysis model of operational-profitability and operational-quality indicators was applied to the banking sector in Dubai. Information was gathered about the 18 main banks which clustered into Islamic and... more
A parallel data envelopment analysis model of operational-profitability and operational-quality indicators was applied to the banking sector in Dubai. Information was gathered about the 18 main banks which clustered into Islamic and commercial banks. Data were obtained from two sources; for the operationalprofitability segment, data were obtained from the formal financial statements of banks in Dubai, and the data for the operational-quality segment were collected randomly from 450 customers by using a well-prepared SERVQUAL questionnaire. The technical efficiencies for both models were computed; and comparisons were made between the Islamic and the commercial banks within both models. The findings are that there are no statistical differences between the Islamic and the commercial banks in the operational-profitability model. However, the Islamic banks dominate the commercial banks in the operational-quality model. Based on an in-depth analysis, the operational-quality in Islamic b...
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In this paper, a robust extreme ranked set sampling (RERSS) procedure for estimating the population mean is introduced. It is shown that the proposed method gives an unbiased estimator with smaller variance, provided the underlying... more
In this paper, a robust extreme ranked set sampling (RERSS) procedure for estimating the population mean is introduced. It is shown that the proposed method gives an unbiased estimator with smaller variance, provided the underlying distribution is symmetric. ...
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... [1]. *Corresponding author. Email: enrico.ciavolino@unisalento.it ISSN 1048-5252 print/ISSN 1029-0311 online © 2009 Taylor & Francis DOI: 10.1080/10485250903009037 http://www.informaworld.com Page 2. 1018 E. Ciavolino... more
... [1]. *Corresponding author. Email: enrico.ciavolino@unisalento.it ISSN 1048-5252 print/ISSN 1029-0311 online © 2009 Taylor & Francis DOI: 10.1080/10485250903009037 http://www.informaworld.com Page 2. 1018 E. Ciavolino and AD Al-Nasser ...
Research Interests: Mathematics, Applied Mathematics, Econometrics, Statistics, Nonparametric Statistics, and 13 moreMonte Carlo Simulation, Customer Satisfaction, Customer satisfaction index, Mean square error, Structural equation models, Partial Least Squares, Missing Data, Structural Equation Model, Indexation, Social Science, Partial Least Square, Maximum entropy, and Motor vehicles act
The aim of this paper was to develop a national customer satisfaction index (CSI) in Jordan and to derive its theory using generalized maximum entropy. During the course of this research, we conducted two different surveys to complete the... more
The aim of this paper was to develop a national customer satisfaction index (CSI) in Jordan and to derive its theory using generalized maximum entropy. During the course of this research, we conducted two different surveys to complete the framework of this CSI. The first one is a pilot study conducted based on a CSI basket in order to select the main factors that comprise the Jordanian customer satisfaction index (JCSI). Based on two different analyses, namely nonlinear principal component analysis and factor analysis, the explained ...
Research Interests: Mathematics, Statistics, Applied Statistics, Service Quality, Customer Satisfaction, and 14 moreVocational Training, Customer satisfaction index, Factor analysis, Generalized Maximum Entropy, Goodness of Fit, Case Study, Applied, SERVQUAL, Structural Equation Model, Loyalty, Pilot study, Indexation, Corporation, and Nonlinear Principal Component Analysis
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... 2007 Asian Network for Scientific Information A Control Chart Based on Ranked Data Amjad D. Al-Nasser and Mohammad Al-Rawwash ... be noted that the above steps could be extended for robust extreme ranked set sampling (RERSS);... more
... 2007 Asian Network for Scientific Information A Control Chart Based on Ranked Data Amjad D. Al-Nasser and Mohammad Al-Rawwash ... be noted that the above steps could be extended for robust extreme ranked set sampling (RERSS); Al-Nasser and Bani Mustafa (2007); by ...