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202 results for “variance analysis”
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Research ArticleOpen accessIn the abstractRandom Walk Models Classifications: An Empirical Study for Malaysian Stock IndicesChin Wen CheongThis article studied the Random Walk models introduced by Campbell et al.[2] for Malaysian stock market. The analysis is implemented under the possible drastic economics structural change using an iterative structural change test. After the break-date identification, the random walk hypothesis is tested by multiple variance ratios test in two separate periods. We further examined the serial correlations of return’s … …American Journal of Applied Sciences, Vol. 5, Issue 4 · 30 Apr 2008 · 6,850 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Offline Signature Verification Scheme Using Feature Point Extraction MethodDebasish Jena, Banshidhar Majhi, Sanjay K. JenaSignature verification is a technology that can solve security problems in our networked society. A new improved offline signature verification scheme is proposed which is based on selecting 60 feature points from the geometric centre of the signature and compares them with the already trained feature points. The classification of the feature points utilizes statistical parameters like mean and variance. … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 6,884 accessesView PDFCite
Research ArticleOpen accessIn the abstractForce Prediction Model for Milling 618 Stainless Steel Using Response Surface MethodologyK. Kadirgama, K A. Abou-El-HosseinThis paper describes the development of a response model (cutting force) for milling 618 stainless steel utilizing response surface methodology. The cutting force model is developed in terms of cutting speed, feed rate, axial depth and radial depth. The cutting force contours have been generated from these model equations and are shown of different plots. The model generated show that … …American Journal of Applied Sciences, Vol. 2, Issue 8 · 31 Aug 2005 · 6,697 accessesView PDFCite
Research ArticleOpen accessIn the abstractSurface Roughness Prediction Model in Machining of Carbon Steel by PCD Coated Cutting ToolsYusuf Sahin, A. Riza MotorcuThe surface roughness model in the turning of AISI 1040 carbon steel was developed in terms of cutting speed, feed rate and depth of cut using response surface methodology. Machining tests were carried out using PVD-coated tools under different cutting conditions. The surface roughness equations of cutting tools when machining the carbon steels were achieved by using the experimental data. … …American Journal of Applied Sciences, Vol. 1, Issue 1 · 31 Mar 2004 · 7,964 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMultilevel Mixed Analysis and Mapping on Divorce Problem in UAEFaisal G. KhamisDespite the wealth of research investigating the divorce problem in the developed countries, few and inconsistent studies investigated this problem at emirate-level in developing countries, such as United Arab Emirates (UAE). The Questions are raised whether divorce is changed over time and whether clustering in divorce exists within emirates in UAE. The objectives are to investigate the change in divorce … …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 31 Oct 2016 · 7,296 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLinear Smoothing of Noisy Spatial Temporal SeriesValter Di Giacinto, Ian dryden, Luigi ippoliti, Luca RomagnoliThe main objective of the study is the development of a linear filter to extract the signal from a spatio-temporal series affected by measurement error. We assume that the evolution of the unobservable signal can be modelled by a space time autoregressive process. In its vectorial form, the model admits a state space representation allowing the direct application of the … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,311 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordInverse Correlations for Multiple Time Series and Gaussian Random Fields and Measures of Their Linear DeterminismR.J. Bhansali, L. IppolitiFor a discrete-time vector linear stationary process, {X(t)}, admitting forward and backward autoregressive representations, the variance matrix of an optimal linear interpolator of X(t), based on a knowledge of {X(t-j), j≠0}, is known to be given by Ri(0)-1 where Ri(0) denotes the inverse variance of the process. Let A=Is-1Ri(0)ˉ1R(0)ˉ1, where R(0) denotes the variance matrix of {X(t)} and Is an … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,424 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComparison of Probit and Logistic Regression Models in the Analysis of Dichotomous OutcomesAmrutha Jose, Mariyamma Philip, Lavanya Tumkur Prasanna, M. ManjulaProbit and logistic regression models are members of the family of generalized linear models, used for estimating the functional relationship between the dichotomous dependent and independent variables. The current study is designed to find the performance of logistic and probit regression models in different conditions under multivariate normality. The objective of the study is to compare the performance of probit … …Current Research in Biostatistics, Vol. 10, Issue 1 · 26 Mar 2020 · 17,036 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPROBING NON-ADHERENCE TO PRESCRIBED MEDICINES? A BIVARIATE DISTRIBUTION WITH INFORMATION NUCLEUS CLARIFIESRamalingam ShanmugamNo illness gets cured without the patient’s adherence to the prescribed medicine (s). Reasons such as too many medicines, lack of health insurance coverage, high co-payment cost, loss of cognitive memory to take. are commonly noticed for non-adherence. In some illnesses, the patients who do not adhere to the prescribed medicines end up again in hospital. How should the pertinent … …Current Research in Medicine, Vol. 5, Issue 2 · 17 Jul 2014 · 7,223 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordModeling Tourist Arrivals Using Time Series Analysis: Evidence From AustraliaGurudeo AnandTularam, Victor Siew Howe Wong, Seyed AbdelhamidShobeiriNejadAustralian tourism has a logistic trend as Butler’s model shows. The stagnation has not been reached so opportunities exist to increase tourism. The logistic model predicts 7.2 million tourists in 2015 but time series models of ARIMA and VAR improve the prediction and explain the data. The ARIMA (2, 2, 2) fits well while the VAR lead to Granger causalities … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 10 Sep 2012 · 7,857 accessesView PDFCite