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80 articles for “Probability Function”
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Research ArticleOpen accessIn the abstractRadar Cross Section Modelling and Analysis of Static and Dynamic Targets using MATLABPunam Pande, Sreemathy R, Mousami TurukRadar Cross Section (RCS) is an important characteristic of the electromagnetic system for target detection. This study presents detailed modelling of Radar Cross Section (RCS) of static simple objects like sphere, cylinder, triangular plate, circular flat plate, truncated cone and complex objects using MATLAB Radar toolbox. The RCS modelling of simple objects is also done with MATLAB POFACET GUI 4.3 … …Journal of Aircraft and Spacecraft Technology, Vol. 6, Issue 1 · 21 Mar 2022 · 11,024 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Dual Exponentiated Weibull ModelMona Mustafa ElbielyA new lifetime model with various shapes of the hazard rate function for modeling uni-modal and bimodal data sets is introduced and studied along with its statistical properties. Before using the maximum likelihood method for estimating the unknown model parameters, we assessed its performance via a simulation study. The flexibility of the new model is illustrated via plots of the … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 29 Jun 2019 · 6,511 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing the Groundwater Quality Parameters Using Frequency AnalysisMaryam Ghashghaie, Kaveh Ostad-Ali-Askari, Saeid Eslamian, Vijay P. SinghWater quality problems are world spread as a result of land use changes and industrial development. Water deficit problems become more severe in result of water quality ignorance. Determining the probability values of water quality parameters for specific return periods could be very helpful in water resources management and conservation in terms of quality. In this research some water quality … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 14 Apr 2018 · 9,083 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Bivariate Exponentiated Modified Weibull DistributionAbdelfattah Mustafa, Mohamed A.W. MahmoudThe new modified Weibull distribution named exponentiated modified Weibull distribution introduced by many authors. In this study, we define and study a bivariate modified Weibull distribution. Some joint probability functions and conditional probability density function are obtained. Also, joint survival function is expressed in compact form. Several statistical properties of this distribution are discussed. In the area of stress-strength models, … …Journal of Mathematics and Statistics, Vol. 13, Issue 4 · 31 Oct 2017 · 7,000 accessesView PDFCite
Research ArticleOpen accessIn the abstractTracking Pointer and Look Ahead Matching Strategy to Evaluate Iceberg Driven QueryKale Sarika Prakash, P.M. Joe PrathapIceberg driven query is important and common in many applications of data mining and data warehousing. Main property of iceberg driven query is it extracts small set of data from huge database. It works on aggregation function followed by GROUP BY and HAVING clause. Due to involvement of aggregation function execution of iceberg driven query becomes tedious and complex work. … …Journal of Computer Science, Vol. 13, Issue 3 · 17 Apr 2017 · 7,296 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved SVM with Hyperparameter Tuning for Fake News DetectionAtcharaporn Nachaithong, Kittipol WisaengIn today’s digital age, accessing information has become effortless. An abundance of resources is available online, from trustworthy news outlets providing factual information to unverified opinions shared by anonymous individuals. With the advent of modern technology, social media platforms have revolutionized interaction and staying informed, providing instant access to news and information related to a wide range of topics. They … …Journal of Computer Science, Vol. 20, Issue 10 · 28 Aug 2024 · 5,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe User Experience Analysis of Digital Health Tracking Application in IndonesiaSugiarto Hartono, Henricus Bambang Triantono, Hendri Hartono et al.Indonesia has an application for health tracking called SATUSEHAT. This application is used to search for hospitals, record vaccine data, and all functions related to public health. This application was first used since the COVID-19 pandemic in mid-2020. The problem is that people are starting to be reluctant to use the application. Initially, this application had 105 million users. Currently, … …Journal of Computer Science, Vol. 20, Issue 9 · 9 Jul 2024 · 5,260 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Bivariate Distribution with Generalized Quadratic Hazard Rate MarginalsAbdelfattah MustafaRecently, Sarhan (2009) introduced a new distribution named generalized quadratic hazard rate distribution. In this study, we define a bivariate Generalized Quadratic Hazard Rate Distribution (BGQHRD). The joint cumulative distribution function and joint survival function are derived in compact forms. Several properties of BGQFRD have been discussed. The conditional probability density function, rth moments and joint and marginal moment generating … …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 3 Nov 2016 · 6,749 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Bayesian Adaptive Design for Combination of Three Drugs in Cancer Phase I Clinical TrialsMourad Tighiouart, Quanlin Li, Steven Piantadosi, Andre RogatkoWe describe a Bayesian adaptive design for early phase cancer trials of a combination of three agents. This is an extension of an earlier work by the authors by allowing all three agents to vary during the trial and by assigning different drug combinations to cohorts of three patients. The primary objective is to estimate the Maximum Tolerated Dose (MTD) … …Current Research in Biostatistics, Vol. 6, Issue 1 · 25 Aug 2016 · 8,421 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Statistical Inference for Number Counting ExperimentsDiego CasadeiStatistical inference describes how to infer about the true but unknown population from the measured sample and is a fundamental ingredient in scientific data analysis. Often one knows the probability model and wishes to estimate its parameters. The Bayesian approach provides a solution in terms of the posterior probability density function of the parameters of interest, given the model, the … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 27 Nov 2015 · 7,570 accessesView PDFCite