Research ArticleOpen accessIn the abstractAbsolute Flux Comparison of Magnetospheric ParticlesMiah M. AdelProblem statement: The calculation of magnetospheric particle flux by dividing the particle count rate by the instrument geometric factor does not take into account the anisotropic pitch angle distribution function. A comparison of particle fluxes measured by different instruments fail to lead to the right comparison. To circumvent the omission of anisotropy of the pitch angle distribution and to make … …Physics International, Vol. 3, Issue 1 · 26 Mar 2012 · 7,674 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating some Reliability Analysis Methodologies in Seismic DesignA. El Ghoulbzouri, A. Khamlichi, F. Lopez Almansa et al.Problem statement: Accounting for uncertainties that were present in geometric and material data of reinforced concrete buildings was performed in this study within the context of performance based seismic engineering design. Approach: Reliability of the expected performance state is assessed by using various methodologies based on finite element nonlinear static pushover analysis and specialized reliability software package. Reliability approaches that … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 3 · 18 Aug 2011 · 7,843 accessesView PDFCite
Research ArticleOpen accessIn the abstractCorrelation Between Dispersion and Mean Toassess Healthcare Servicee FficiencyRamalingam ShanmugamMotivation for this research work started while helping a hospital administrator to assess whether patient oriented activity duration, X≥0 is reflecting the service’s efficiency? Higher value of the sample mean duration, X implies lesser productivity in the hospital and more healthcare cost. Likewise, larger value of sample dispersion, sx2 in the service durations is an indicator of lesser reliability and … …Current Research in Biostatistics, Vol. 2, Issue 2 · 30 Aug 2012 · 6,873 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordModeling Positive Time Series Data: A Neglected Aspect in Time Series CoursesMaman A. Djauhari, Lee Siaw Li, Rohayu Mohd SallehSomething has been forgotten in time series courses, in particular, when dealing with positive datasets. To describe the pattern hidden in this type of datasets, before we use a sophisticated method of modeling such as Autoregressive Integrated Moving Average (ARIMA), we propose to check first whether the data represent a Geometric Brownian Motion (GBM) process. If it is affirmative, unlike … …American Journal of Applied Sciences, Vol. 13, Issue 7 · 1 Jul 2016 · 7,533 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMODEL BUILDING FOR AUTOCORRELATED PROCESS CONTROL: AN INDUSTRIAL EXPERIENCEM. A. Djauhari, S. L. Lee, Z. IsmailWe show that many time series data are governed by Geometric Brownian Motion (GBM) law. This motivates us to propose a procedure of time series model building for autocorrelated process control that might consist of two steps. First, we test whether the process data are governed by GBM law. If it is affirmative, the appropriate model is directly given by … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 29 Mar 2014 · 6,624 accessesView PDFCite