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108 articles for “Estimated Time”
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Research ArticleOpen accessIn the abstractA MIXTURE DROPOUT MECHANISM IN A LONGITUDINAL STUDY WITH TWO TIME POINTS: A METHADONE STUDYZohreh Toghrayee, Parvin Jalili, Heng Chin Low, Ardavan TaghvaOne of the most important issues that confront statisticians in longitudinal studies is dropouts. A variety of reasons may lead to withdrawal from a study and produce two different missingness mechanisms, namely, missing at random and non-ignorable dropouts. Nevertheless, none of these mechanisms is tenable in most studies. In addition, it may be that not all of dropouts are nonignorable. … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 26 Apr 2014 · 6,726 accessesView PDFCite
Research ArticleOpen accessIn the abstractTweaking Exponential Distribution to Estimate the Chance for More Survival Time if a Cancerous Kidney is RemovedRamalingam ShanmugamPatients with a malignant tumor in the kidney (recognized as hypernephroma in medical practice) are treated by what is known as nephrectomy (that is a surgical removal of the kidney) in addition to a combionation of chemotherapy and immunotherapy for the sake of more survival time. This articles develops and demonstrates a statistical methodology to assess the statistical significance of … …International Journal of Research in Nursing, Vol. 4, Issue 2 · 4 Sep 2013 · 6,222 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigation of Socially Responsible Investment Markets (SRI) Using Dynamic Conditional Correlation (DCC) Method: Implications for DiversificationGurudeo Anand Tularam, Eduardo Roca, Victor Siew Howe WongProblem statement: Over the last ten years there has been a phenomenal growth in the amount of funds placed in SRI globally estimated to be around US$6.5 trillion while around US$55 billion in the Australian market. Accurate knowledge of correlation of the Australian SRI market with other SRI markets overseas is crucially important for Australian (SRI) investors for international portfolio … …Journal of Mathematics and Statistics, Vol. 6, Issue 4 · 4 Nov 2010 · 16,240 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptical Properties and Kinetic Behavior of Chlorine in Pure Water and Swimming Pool Water using Surface Plasmon Resonance TechniqueW.Y.W. Yusmawati, W. Mahmood Mat YunusAn optical sensor based on surface plasmon resonance phenomenon for detection of chlorine in pure water and swimming pool water is presented. The measurement was carried out at room temperature using Kretschmann surface plasmon resonance technique. When the air medium outside the metal film is changed to chlorine solution, the resonance angle shifted to the higher value. The shift of … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 7,366 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting River Flow in the USA: A Comparison between Auto-Regression and Neural Network Non-Parametric ModelsAbdel K.M. Baareh, Alaa F. Sheta, Khaled A. KhnaifesForecasting a time series became one of the most challenging tasks to variety of data sets. The existence of large number of parameters to be estimated and the effect of uncertainty and outliers in the measurements makes the time series modeling too complicated. Recently, Artificial Neural Network (ANN) became quite successful tool to handle time series modeling problem. This paper … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,968 accessesView PDFCite
Research ArticleOpen accessIn the abstractIsolation and Identification of a Bioflocculant-Producing Strain and Application in Rice Vinegar ClarificationWeilian Hu, Dehui DaiA bioflocculant-producing bacterium S-3# was isolated from fresh sand bones 40-50 cm underground in the desert region of China’s Ningxia Province. It was identified as Paenibacillus sp. based on 16S rDNA sequence along with its biochemical and morphological characteristics. Chemical analysis found that the bioflocculant from S-3# is mainly composed of extracellular polysaccharide. Researchers observed no noticeable change (above 91%) … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 4 · 30 Dec 2020 · 5,927 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of Natural and Artificial Recharge of Shahreza Plain Groundwater in Isfahan Using CRD and Hantush ModelsMohsen Nekooei, Jahangir Abedi Koupai, Saeid Eslamian et al.Cumulative Rainfall Departure model (CRD) is widely used for estimation of ground natural recharge. This model is based on the groundwater balance and it requires random parameters. Moreover, an increase in the static level under artificial recharge facility is simulated using diffusion equations. Since Shahreza Plain is located in an arid and semi-arid area and given that rainfall is the … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 2 · 17 Jun 2020 · 6,802 accessesView PDFCite
Research ArticleOpen accessIn the abstractMethane Emissions by Reed Formations on the Azov Sea CoastDmitry Nikolaevich Gar'kusha, Viktor Vladimirovich SukhorukovMapping of reed zones including both single-species formations and mixed formations of reeds and cattails has been done to assess methane emissions produced by reed formations growing on the coast and adjacent areas of the Azov Sea. In particular zones full-scale experiments have been carried out in order to measure methane emissions above common reed (Phragmites australis (Cav.) Trin. ex … …OnLine Journal of Biological Sciences, Vol. 19, Issue 4 · 24 Dec 2019 · 6,955 accessesView PDFCite
EditorialOpen accessIn the abstractUse of Design of Experiments and Manuscripts Rejection RateAydin Berenjian, Jason RyanTraditional one-variable-at-a-time method was and still is for some researchers, the general procedure to determine the optimal conditions for a chemical, biochemical or biological mechanism. According to this technique, a large number of experiments should be performed to obtain a high precision in effect assessment and also the interaction among the variables cannot be defined. To overcome the limitations of … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 2 · 8 Jun 2015 · 7,174 accessesView PDFCite
Research ArticleOpen accessIn the abstractBAYESIAN MODEL AVERAGING WITH MARKOV CHAIN MONTE CARLO FOR CALIBRATING TEMPERATURE FORECAST FROM COMBINATION OF TIME SERIES MODELSHeri Kuswanto, Mega Rahmatia SariGlobal warming is an important issue related to the climate and weather forecast. It is shown by significantly increasing the atmospheric temperature level. Hence, improving the forecast accuracy of temperature is an important issue. The forecast is commonly done by performing a deterministic forecast meaning that the system will generate a point forecast without taking into account the uncertainty induced … …Journal of Mathematics and Statistics, Vol. 9, Issue 4 · 29 Nov 2013 · 7,085 accessesView PDFCite