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119 articles for “random sampling”
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Research ArticleOpen accessIn the abstractOn the Mean Estimation using Stratified Double Median Ranked Set SamplingMahmoud Ibrahim Syam, Amer Ibrahim Al-Omari, Kamarulzaman IbrahimStratified Double Median Ranked Set Sampling (SDMRSS) method is suggested for estimating the population mean. The SDMRSS is compared with the Simple Random Sampling (SRS), Stratified Simple Random Sampling (SSRS) and Stratified Ranked Set Sampling (SRSS) methods. It is shown that SDMRSS estimator is an unbiased of the population mean and is more efficient than the SRS, SSRS and SRSS … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 7,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractMISSING DATA IMPUTATION USING WEIGHTED OF REGIME SWITCHING MEAN AND REGRESSIONJumlong Vongprasert, Bhusana PremanodeMissing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. The purpose of this work were first to develop the Weighted of Regime Switching Mean and Regression (WRSMRI) for missing data estimation and secondly to compare its efficiency of estimation and statistical power of a … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 3 May 2014 · 6,704 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeterminants of Attitude towards Information and Communication Technology Usage among Rural Administrators in using Structural Equation ModelingJeffrey Lawrence D'Silva, Bahaman Abu Samah, Hayrol Azril Mohamed Shaffril et al.Problem statement: Village Development and Security Committee members play a vital role in enhancing the village development programs in Malaysia and ICT is deemed as an important mechanism to further boost rural development. But do the rural community in Malaysia especially their leaders have a positive attitude towards it? Hence, this study is designed to identify the constructs that significantly … …American Journal of Applied Sciences, Vol. 8, Issue 5 · 17 May 2011 · 7,504 accessesView PDFCite
Research ArticleOpen accessIn the abstractHead Gesture Analysis using Matrix Group Displacement AlgorithmMahmoud Z. IskandaraniA novel algorithm for head gestures interpretation is designed and tested. The designed system carries out gesture detection and recognition using the MGDA algorithm, which implements random sampling and importance sampling, such technique can track head poses and estimate head positions. Problem statement: Head position is an important indicator of a person’s focus of attention, which can be used as … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractRanking of Simultaneous Equation Techniques to Small Sample Properties and Correlated Random DeviatesA. A. Adepoju, J. O. OlaomiProblem statement: All simultaneous equation estimation methods have some desirable asymptotic properties and these properties become effective in large samples. This study is relevant since samples available to researchers are mostly small in practice and are often plagued with the problem of mutual correlation between pairs of random deviates which is a violation of the assumption of mutual independence between … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 6,594 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegration of Electrical and Electromagnetic Investigation for Contaminated SiteAlberto Godio, Mario NaldiProblem statement: The environmental assessment of industrial areas is required to minimize the risk of soil and groundwater contamination. The survey of wide areas (e.g., some hectares) provides a high economical and complex logistical impact when random strategies of soil sampling are adopted. Recently, geophysical methods had been successfully adopted to drive the process of the spatial sampling of the … …American Journal of Environmental Sciences, Vol. 5, Issue 4 · 31 Aug 2009 · 7,163 accessesView PDFCite
Research ArticleOpen accessIn the abstractThree Dimensional Multidirectional Geographical IP Traceback: Direction Ratio Sampling AlgorithmA. Rajiv Kannan, K. Duraiswamy, K. SangeethaProblem statement: An important and challenging problem is that of tracing DOS/DDOS attack source. IP traceback is the process of identifying the actual source(s) of attack packets, So that the attackers can be held accountable as also in mitigating them, either by isolating the attack sources or by filtering packets for away from the victim. Several IP traceback schemes have … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,233 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Compression and Reconstruction using Cubic Spline Interpolation TechniqueR. Muthaiah, K. NeelaKantan, Vidur Sharma, Amit AroraA new dimension of image compression using random pixels of irregular sampling and image reconstruction using cubic-spline interpolation techniques proposed in this paper. It also covers the wide field of multimedia communication concerned with multimedia messaging (MMS) and image transfer through mobile phones and tried to find a mechanism to transfer images with minimum bandwidth requirement. This method would provide … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 7,197 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigating Mechanisms of Marginal Settlement Life ImprovementHamid Movahed Mohammadi, Yaser Mohammadi, Mehdi Rahimian, Navid LoghmaniThe main purpose of this research was to investigate mechanisms to improve marginal settlement life in Koohdasht County in Lorestan province. This research was a sort of the survey studies and a questionnaire was compiled for collection of data. Statistical population of this study was included 1560 households; also sampling method was a sort of random sampling. Number of sample … …Journal of Social Sciences, Vol. 4, Issue 3 · 30 Sep 2008 · 7,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Implementation of Re-Sampling Technique for High Performance Multiple Classifier SystemsS. Sathiyabama, K. Thyagarajah, D. AyyamuthukumarDue to the large size of the database, the entire training dataset could not be used to construct the classifiers. One popular solution is to separate stream data into chunks, learn a base classifier from each chunk and then integrate all base classifiers to form Multiple classifier system (MCS). Sometimes this data streams does not include all the classes in … …Journal of Computer Science, Vol. 3, Issue 4 · 30 Apr 2007 · 7,014 accessesView PDFCite