Research ArticleOpen accessIn the abstractAlpha Power Inverted Exponentiated Weibull Distribution with Data ApplicationsAbdulkareem M. BasheerA novel extension of the Inverted Exponentiated Weibull (IEW) distribution is achieved through the utilization of the generator Alpha Power (AP) transformation. The resulting extended distribution is denoted as the Alpha Power Inverted Exponentiated Weibull (APIEW) distribution, which encompasses various sub-models. The statistical characteristics of the newly proposed distribution are established, encompassing the hazard rate function, mean residual life, mean … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 21 Dec 2024 · 8,370 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Alpha-Exhaustive Multiple Testing ProcedureMark Chang, Xuan Deng, John BalserA multiple testing procedure can be a single-step procedure such as Bonferroni's method or a stepwise procedure such as Hochberg's stepup method and Hommel's method. It can be an α-exhaustive or α-conservative approach. We develop a single α-exhaustive procedure that can improve power 2-5% over Hochberg's and Hommel's methods in common situations when the test statistics are mutually independent. The … …Current Research in Biostatistics, Vol. 6, Issue 2 · 30 Jun 2017 · 8,095 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultiple Vehicle Tracking using Adaptive Gaussian Mixture Model and Kalman FilterFandy Setyo UtomoBased on data from the Central Statistics Agency (BPS) of the Republic of Indonesia in catalog Crime Statistics in 2014, the number of crimes of theft of motor vehicles has increased since 2010 until 2013. Recorded in 2013 the number reached 42.508 cases of theft. In this study, we made a prototype application using Adaptive Gaussian Mixture Models algorithms and … …American Journal of Applied Sciences, Vol. 13, Issue 12 · 22 Dec 2016 · 7,375 accessesView PDFCite
EditorialOpen accessIn the abstractNew Kind of Statistical MethodsCagdas Hakan AladagAladag, C.H. and E. Egrioglu, 2012. Advanced Time Series Forecasting Methods. In: Advances in Time Series Forecasting, Aladag, C.H. and E. Egrioglu (Eds.), Bentham Science Publishers, Oak Park, ISBN-10: 1608053733. Aladag, C.H., 2011. A Hybrid Intelligent Technique Combines Neural Networks and Tabu Search Methods for Forecasting, Computer Search Algorithms. 1st Edn., Nova Publisher, ISBN: 978-1-61209-043-6. Aladag, C.H., E Egrioglu, U. … …Journal of Mathematics and Statistics, Vol. 10, Issue 4 · 28 Nov 2014 · 7,588 accessesView PDFCite
Research ArticleOpen accessIn the abstractSorting N-Elements Using Natural Order: A New Adaptive Sorting ApproachShamim Akhter, M. Tanveer HasanProblem statement: Researchers focused their attention on optimally adaptive sorting algorithm and illustrated a need to develop tools for constructing adaptive algorithms for large classes of measures. In adaptive sorting algorithm the run time for n input data smoothly varies from O(n) to O(nlogn), with respect to several measures of disorder. Questions were raised whether any approach or technique would … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 7,722 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Causal Relationship between Financial Market Development and Economic GrowthAthanasios Vazakidis, Antonios AdamopoulosProblem statement: This study investigated the causal relationship between financial market development and economic growth for United Kingdom for the period 1965-2007 using a Vector Error Correction Model (VECM). Questions were raised whether financial market development causes economic growth or reversely taking into account the negative effect of interest rate. The objective of this study was to examine the causal … …American Journal of Applied Sciences, Vol. 7, Issue 4 · 30 Apr 2010 · 7,678 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmerging Stock Market Performance and Economic GrowthSeyyed Ali Paytakhti OskooeProblem statement: In spite of significant development in Iran stock market as a emerging stock market, there has been not specific research on the causality between the stock prices and economic growth. This study represented a systematic investigation of the relationship between stock market performance and economic growth in Iran by conducting causality tests within the Vector Error Correction Model … …American Journal of Applied Sciences, Vol. 7, Issue 2 · 28 Feb 2010 · 8,460 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock Market Development and Economic GrowthAthanasios Vazakidis, Antonios AdamopoulosProblem statement: This study investigated the causal relationship between stock market development and economic growth for France for the period 1965-2007 using a Vector Error Correction Model (VECM). Questions were raised whether stock market development causes economic growth or reversely taking into account the negative effect of interest rate. Stock market development is estimated by the general stock market index. … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 8,361 accessesView PDFCite
Research ArticleOpen accessIn the abstractFinancial Development and Economic Growth An Empirical Analysis for GreeceAthanasios Vazakidis, Antonios AdamopoulosProblem statement: This study investigated the causal relationship between financial development and economic growth for Greece for the period 1978-2007 using a Vector Error Correction Model (VECM). Questions were raised whether financial development causes economic growth or reversely taking into account the positive effect of industrial production index. Financial market development is estimated by the effect of credit market development … …American Journal of Applied Sciences, Vol. 6, Issue 7 · 31 Jul 2009 · 7,749 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Odds Generalized Exponential-Power Lomax DistributionSalwa Mahmoud AssarA new distribution, called odds generalized exponential-power Lomax distribution is suggested for modeling lifetime data. Some structural properties of the new distribution including; quantiles, Rényi entropy, moments and distribution of order statistics are provided. The model parameters of the new distribution are estimated by the maximum likelihood method. Finally, applications to two real data sets are analyzed to illustrate the … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 12 Jun 2018 · 7,567 accessesView PDFCite