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Research ArticleOpen accessEvery word in the titleModified Human Development Index using Data Envelopment Analysis ApproachYasmine Refai Salama, Ramadan Hamed, Mahmoud RashwanComposite Indicator is considered themathematical aggregation which has wide usage for monitoring performances,conducting benchmarks, analyzing policies, and communicating publicly. HumanDevelopment Index (HDI) is the most popular index which measures humandevelopment through average achievement in its main dimensions: Health status,education status, and living standard but it is faced with several critiques,positive and negative. Moreover, HDI was tested to have a positive … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 26 Sep 2022 · 6,088 accessesView PDFCite
Literature ReviewOpen accessEvery word in the titleOnline Traffic Measurement and Analysis in Big Data: Comparative Research ReviewLena T. Ibrahim, Rosilah Hassan, Kamsuriah Ahmad et al.The Internet traffic measurement and analysis is important to avoid many problems of data transferring via online networks such as data losing and slow data transferring. The Internet traffic measuring and analysis could be effective to avoid the data transferring challenges. The Internet traffic measuring and analysis flexibility is important due to many reasons such as dynamicity of transferred data … …American Journal of Applied Sciences, Vol. 13, Issue 4 · 27 Apr 2016 · 7,711 accessesView PDFCite
Literature ReviewOpen accessEvery word in the titleOverview and Future Opportunities of Sentiment Analysis Approaches for Big DataNurfadhlina Mohd Sharef, Harnani Mat Zin, Samaneh NadaliThe ability to exploit public sentiment in social media is increasingly considered as an important tool for market understanding, customer segmentation and stock price prediction for strategic marketing planning and manoeuvring. This evolution of technology adoption is energised by the healthy growth in big data framework, which caused applications based on Sentiment Analysis (SA) in big data to become common … …Journal of Computer Science, Vol. 12, Issue 3 · 26 Apr 2016 · 10,313 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTrial Design and Analysis with Incomplete Paired DataMark Chang, Jing WangFor a clinical trial design with paired data, it often involves missing observations. In such a case, the data from the trial become a mixture of paired and unpaired data. A commonly used approach for the analysis of the trial data is to ignore the incomplete pairs. Such a treatment of missing data is not statistically efficient. We propose a … …Current Research in Biostatistics, Vol. 5, Issue 2 · 12 Nov 2015 · 7,889 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTREND ANALYSIS OF MONTHLY RAINFALL DATA IN CENTRAL ZONETelemu KassileProper trend analysis of rainfall data is necessary for social and economic planning especially in the tropics where rainfall is a major limiting factor for crop production. In spite of the growing number of studies on climatic variables including rainfall in recent years, in the context of Tanzania little is known as to whether or not the observed time trend … …Journal of Mathematics and Statistics, Vol. 9, Issue 1 · 15 Mar 2013 · 7,939 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMeasuring the Operating Efficiency of Solar Cell Companies in Taiwan with Data Envelopment AnalysisJui-Min HsiaoThis study discusses the Data Envelopment Analysis (DEA) approach to measure the operating efficiency of solar cell companies. With active and constructive advancement of the government, competition in the solar cell industry became even tenser. When drawing up the competitive strategies, one firm should identify the key indicators of its operating efficiency. This study incorporates three inputs (the number of … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 7 Nov 2012 · 6,920 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Approach Using Data Envelopment Analysis for Ranking Classification AlgorithmsA. Bazleh, P. Gholami, F. SoleymaniProblem statement: A variety of methods and algorithms for classification problems have been developed recently. But the main question is that how to select an appropriate and effective classification algorithm. This has always been an important and difficult issue. Approach: Since the classification algorithm selection task needs to examine more than one criterion such as accuracy and computational time, it … …Journal of Mathematics and Statistics, Vol. 7, Issue 4 · 15 Sep 2011 · 7,443 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Efficiency Measurement of Parallel Production Systems: A Non-radial Data Envelopment Analysis ModelAli Ashrafi, Azmi Bin Jaafar, Mohd Rizam Abu Bakar, Lai Soon LeeProblem statement: Data Envelopment Analysis (DEA) is a non-parametric technique for measuring the relative efficiency of a set of production systems or Decision Making Units (DMU) that have multiple inputs and outputs. Sometimes, DMUs have a parallel structure, in which systems composed of parallel units work individually; the sum of their own inputs/outputs is the input/output of the system. For … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 9,253 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Enhanced Russell Measure of Super-Efficiency for Ranking Efficient Units in Data Envelopment AnalysisAli Ashrafi, Azmi Bin Jaafar, Lai Soon Lee, Mohd Rizam Abu BakarProblem statement: Conventional Data Envelopment Analysis (DEA) helps decision makers to discriminate between efficient and inefficient Decision Making Units (DMUs). However, DEA does not provide more information about the efficient DMUs. Super-efficiency DEA model can be used in ranking the performance of efficient DMUs. Because of the possible infeasibility of radial super-efficiency DEA model, the ranking has been limited to … …American Journal of Applied Sciences, Vol. 8, Issue 1 · 31 Jan 2011 · 8,798 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBenchmarking in the Academic Departments using Data Envelopment AnalysisMohammad Mahallati Rayeni, Faranak Hosseinzadeh SaljooghiProblem statement: The purpose of this study is to analyze efficiency and benchmarking using Data Envelopment Analysis (DEA) in departments of University. Benchmarking is a process of defining valid measures of performance comparison among peer decision making units (DMUs), using them to determine the relative positions of the peer DMUs and, ultimately, establishing a standard of excellence. Approach: DEA can … …American Journal of Applied Sciences, Vol. 7, Issue 11 · 8 Nov 2010 · 7,172 accessesView PDFCite