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41 articles for “Likelihood Technique”
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Research ArticleOpen accessIn the keywordsStatistical Inference on a Black-Scholes Model with Jumps. Application in HydrologyJ. Cesars, S.P. Nuiro, J. VaillantWe consider a Stochastic Differential Equation (SDE) driven by a Wiener process and a Poisson measure. This latter measure is associated with a sequence of identically distributed jump amplitudes. Properties of the SDE solution are presented with respect to the associated Wiener and Poisson processes. An algorithm is provided allowing exact numerical simulations of such SDE and implementable within R … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 24 Jul 2019 · 7,502 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA BIVARIATE PROBABILITY MODEL TO IDENTIFY "HONESTY" VERSUS "CHEATING" IN ECONOMIC SURVEYS: XENOPHOBIA IS ILLUSTRATEDRamalingam ShanmugamMaking successful policies for manufacturing or globalized business sectors require "honest" answers by the respondents in the surveys. When some respondents cheat in their answers to the questions in a survey for a variety of reasons, the survey results become useless. Currently, there is no appropriate probability model to address this phenomenon "cheating" in a survey. An efficient methodology is … …American Journal of Economics and Business Administration, Vol. 6, Issue 1 · 18 Jun 2014 · 6,849 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimalization of the Swim-Up Method for Bali Bull Sperm: Effect of Incubation Time and Medium on Sperm KineticsAthhar Manabi Diansyah, Muhammad Yusuf, Rahmat et al.Bali bulls (Bos javanicus) are an essential part of Indonesia’s indigenous livestock, prized for their ability to thrive in challenging environments, their natural disease resistance, and their strong reproductive capabilities. The aim of this study was to refine the swim-up technique for preparing Bali cattle sperm. We evaluated the effects of two commonly used media Tyrode's Albumin Lactate Pyruvate (TALP) … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 9 Feb 2026 · 1,687 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Financial Statement Failure of Listed Firms in Market for Alternative Investment (mai) using Machine LearningPattanapong Kumsin, Salakjit Ninlaphay, Anupong SukprasertThe purpose of this research is to investigate the financial ratios of companies listed on the Market for Alternative Investment (mai) in Thailand, as well as the likelihood of these companies' financial statement failure. It also intends to create a financial statement failure predicting model for companies listed on the mai and assess the performance of various forecasting models using … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,240 accessesView PDFCite
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 abstractGradient Boosting for Heart Stroke Prediction: Investigating Unexpected Risk FactorsAniket Kailas Shahade, Priyanka V. DeshmukhHeart stroke prediction is a critical area in healthcare, aiming to identify individuals at risk and provide timely intervention. This research leverages machine learning algorithms, including Decision Tree, Random Forest, AdaBoost, and Gradient Boost, to predict the likelihood of stroke, with Gradient Boosting delivering the most accurate results. Our analysis uncovers intriguing and unexpected relationships between stroke risk and various … …Journal of Computer Science, Vol. 21, Issue 1 · 16 Dec 2024 · 4,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Evolution Framework for Evaluating Intelligent Spectrum Sensing Mechanisms in Cognitive RadioArchana Krishnamuthy, Sudhindra Kumbhashi RajgopalCognitive radio technology has advanced to address the challenge of limited spectrum availability by employing spectrum sensing techniques. This process is framed as a detection problem involving two core hypotheses: Hypo-0 and Hypo-1. Hypo-0 represents the scenario where only noise is present, and its modeling depends on parameters such as the number of observed samples, the timing of signal acquisition, … …Journal of Computer Science, Vol. 21, Issue 8 · 4 Sep 2025 · 5,807 accessesView PDFCite
Research ArticleOpen accessIn the abstractCritical Success Factors of Information Technology Outsourcing for Emerging MarketsSushil Paudel, Vinish KumarOutsourcing has gained popularity as several large U.S. companies in the 1980 s began delegating IT work to foreign firms. In outsourcing, one party (customer) asks another party (vendor) to do a particular job. Outsourcing has its own advantages, like reducing the cost and time and increasing performance and satisfaction. This study has focused on the critical success factors in … …Journal of Computer Science, Vol. 17, Issue 5 · 18 May 2021 · 8,126 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Sentiment-Based Evaluation of Museum Display Design through Hybrid IndoBERT and Rule-Based LexiconErneza Dewi Krishnasari, Yaddarabullah, Bayyinah Nurrul Haq et al.Traditional museums remain vital cultural institutions but face persistent challenges in engaging contemporary audiences. The Wayang Museum in Indonesia, despite partial digital renovation, continues to rely heavily on static, text-based displays that often hinder visual comfort and informational comprehension. Conventional sentiment analysis techniques have demonstrated limitations in accurately capturing the subtle feedback from visitors, particularly within the culturally nuanced contexts … …Journal of Computer Science, Vol. 22, Issue 5 · 30 May 2026 · 1,326 accessesView PDFCite
Review ArticleOpen accessIn the abstractMachine Learning Techniques for Software Bug Prediction: A Systematic ReviewSyahana Nur’Ain Saharudin, Koh Tieng Wei, Kew Si NaThe goal of software bug prediction is to identify the software modules that will have the likelihood to get bugs by using some fundamental project resources before the real testing starts. Due to high cost in correcting the detected bugs, it is advisable to start predicting bugs at the early stage of development instead of at the testing phase. There … …Journal of Computer Science, Vol. 16, Issue 11 · 14 Nov 2020 · 9,377 accessesView PDFCite