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Research ArticleOpen accessIn the abstractStatistical Size and Power of Eight Normality Tests in Presence of GARCH (1 1) ErrorsJulio César Alonso, Daniela EstradaIn this work, we assess the power and size of eight normality tests underthe assumption that errors follow a GARCH (1, 1) process by using MonteCarlo simulations. Four results stand out. First, the presence of a GARCH(1, 1) process increases the probability of making type I error. Second, Pearsonnormality test is recommended if it is assumed that errors follow a … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 11 Feb 2019 · 6,992 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Empirical Study of Robust Modified Recursive Fits of Moving Average ModelsMohamed Ali Ismail, Hend A. Auda, Joe W. McKean, Mahmoud Mohamed SadekThe time-series Moving Average (MA) model is a nonlinear model; see, for example. For traditional Least Squares (LS) fits, there are several algorithms to use for computing its fit. Since the model is nonlinear, Fuller discusses a Newton-type step algorithm. proposed a recursive algorithm based on a sequence of three linear LS regressions. In this study, we robustify Koreisha and … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 28 Jul 2022 · 5,859 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation for Unknown Parameters of the Burr Type-XII Distribution Based on an Adaptive Progressive Type-II Censoring SchemeMontaser M. AmeinIn this study, the Maximum Likelihood Estimation (MLE) and Bayes estimation are exploited to make interval estimation based on adaptive progressive Type-II censoring for the Burr Type-XII distribution. Explicit form for the parameters of Bayes estimator doesn’t exist, so, Markov Chain Monte Carlo (MCMC) method is used as approximation to find posterior mean under squared error loss function. Real data … …Journal of Mathematics and Statistics, Vol. 12, Issue 2 · 29 Apr 2016 · 7,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization and Prediction of Motorcycle Injection System Performance with Feed-Forward Back-Propagation Method Artificial Neural Network (ANN)La Ode Ichlas Syahrullah, Nazaruddin SinagaThis research studied the use of Artificial Neural Network (ANN) using feed-forward back-propagation model to optimize and predict the performance of a motorcycle fuel injection systems of gasoline. The parameters such as speed, throttle position, ignition timing and injection timing is used as the input parameters. While the parameters of fuel consumption and engine torque is used as the output … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 16 Feb 2016 · 13,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractMODULATION IDENTIFICATION AND HAMMING ENCODING TECHNIQUE IMPLEMENTED IN SOFTWARE-DEFINED RADIOS. Ravi, M. Anand, S. Leones Sherwin Vimalraj, V. KannanIn SDR, it is advantageous if the data is transmitted using the best among the various modulation techniques with respect to SNR. The receiver has the ability to automatically identify the modulation technique and demodulate it. This process involves a novel method where a pilot sequence helps in identifying the type of modulation at the receiver. Ten modulation techniques are … …American Journal of Applied Sciences, Vol. 11, Issue 4 · 8 Feb 2014 · 6,888 accessesView PDFCite
Research ArticleOpen accessIn the abstractThai Dialects and Structural Modeling with NoisesSuphattharachai Chomphan, Numchok Budwong, Sirarot PreechatanapojFundamental Frequency (F0) conveys the prosodic information of the human speech. The modeling of the dialects’ F0 in a particular language is vital issue that should be taken into account. Four main dialects are spoken in different regions of Thailand including central, north, northeast and south regions. Another important issue is the environmental noises which is often be perceived in … …American Journal of Applied Sciences, Vol. 10, Issue 2 · 25 Feb 2013 · 6,619 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecured Disclosure of Sensitive Data in Data Mining TechniquesKirubhakar Gurusamy, Venkatesh ChakrapaniRecent advances in data collection, data dissemination and related technologies have inaugurated a new era of research where existing data mining algorithms should be reconsidered from the point of view of securing sensitive data. People have become increasingly unwilling to share their data. This frequently results in individuals either refusing to share their data or providing incorrect data. In turn, … …Journal of Computer Science, Vol. 8, Issue 12 · 18 Dec 2012 · 6,482 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Environmental Noises on Fundamental Frequency Contours of Thai Expressive SpeechSuphattharachai Chomphan, Chutarat ChompunthProblem statement: The expressive speech of Thai had been studied for a short period of time. An important feature of speech was fundamental frequency (F0) which defines the human speech prosody. It could be used to distinguish the difference between several types of expressive speech. The environmental noises affect the F0 contour for Thai dialects as concluded in the previous … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 28 Jun 2012 · 6,907 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Web Usage Miner Using Decisive Induction RulesK. Poongothai, S. SathiyabamaProblem statement: Web usage mining is the technique of extracting useful information from server logs (user’s history) and finding out what users are looking for on the Internet. This type of web mining allows for the collection of Web access data for Web pages. Scope: The web usage data provides the paths leading to accessed Web pages with prefrences and … …Journal of Computer Science, Vol. 8, Issue 6 · 14 Mar 2012 · 6,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractCerebrovascular Accident Attack Classification Using Multilayer Feed Forward Artificial Neural Network with Back Propagation ErrorOlatubosun Olabode, Bola Titilayo OlabodeProblem statement: Most important problems of medical diagnosis. When there is a cerebrovascular accident attach the chances of a successful treatment depends essentially on the early diagnosis. In practice the part of medical errors while diagnosing a stroke type comes to 20-45% even for experienced doctors and the scope of methods of neurovisualization at stroke diagnosis are limited. Approach: In … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,330 accessesView PDFCite