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80 articles for “chi-square”
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Research ArticleOpen accessPhrase in the titleUse of the Chi-square Test to Determine Significance of Cumulative Antibiogram DataRocco J. Perla, James CarifioAn important function of a hospital’s Infectious Disease and Pharmacy programs is to review and compare the most recent antibiogram with that of the previous year to determine if significant changes in antibiotic susceptibility results are noted and to communicate this information and its consequences to the medical staff. However, there are currently no formal analytical (decision-making) models in use … …American Journal of Infectious Diseases, Vol. 1, Issue 4 · 31 Dec 2005 · 7,279 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleChi Square Feature Extraction Based Svms Arabic Language Text Categorization SystemAbdelwadood Moh’d A MESLEHThis paper aims to implement a Support Vector Machines (SVMs) based text classification system for Arabic language articles. This classifier uses CHI square method as a feature selection method in the pre-processing step of the Text Classification system design procedure. Comparing to other classification methods, our system shows a high classification effectiveness for Arabic data set in term of F-measure … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 11,057 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRandomness Analysis of DES Ciphers Produced with Various Dynamic ArrangementsMalik Qasaimeh, Raad S. Al-QassasOver the past few years, researchers have devoted efforts to enhance the original DES encryption algorithm. These enhancements focus on improving multiple perspectives of the algorithm through enhancing its internal components to deliver a robust DES variant against different kinds of typical attacks such as linear and differential crypto analysis, in addition to the newly evolved attacks such as differential … …Journal of Computer Science, Vol. 13, Issue 12 · 15 Dec 2017 · 7,161 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Analysis of High Dimensional Contingency Table with InteractionsKeorapetse Sediakgotla, Lesego Gabaitiri, Keamogetse Setlhare et al.This paper is focused on the analysis of categorical data in a 2 × c × K contingency table. The theoretical frame work of a 2 × c design is extended to 2 × c × K with provision for testing interactions among subsets of either lower or upper columns of the designated table. The developed chi square tests for … …American Journal of Applied Sciences, Vol. 14, Issue 8 · 30 Aug 2017 · 7,651 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRisks Ratios of Shrinkage Estimators for the Multivariate Normal MeanAbdenour Hamdaoui, Nadia MezouarWe study the estimation of the mean θ of a multivariate Gaussian random variable X∼Np(θ,σ2Ip) in ℜp, σ2 is unknown and estimated by the chi-square variable S2∼σ2χn2. In this work we are interested in studying bounds and limits of risk ratios of shrinkage estimators to the maximum likelihood estimator X, when n and p tend to infinity. We recall that … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 3 Apr 2017 · 7,108 accessesView PDFCite
Research ArticleOpen accessIn the keywordsManagement Information Systems Role in Decision-Making During Crises: Case StudySaleh Al-ZhraniProblem statement: This study investigated and identified the importance role of MIS in decision-making process during crises at the Directorate General of Border Guard in Saud Arabia. In addition, it examines obstacles that limit the role of MIS in decision-making during crises. Approach: The study used the descriptive research design of the survey type. Data were collected from a sample … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 8,871 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTesting the Equality of Growth Curves of Independent Populations with Application on Egypt CaseHanan Girgis, Ramadan Hamed, Magued OsmanProblem statement: Numerous trials have been conducted to compare the body growth curves and hence growth rates relying on smoothing and modeling different growth curves using different parameter values for the same model. This study aimed to construct a test of the equality of two percentile growth curves and of a set of percentile growth curves from two independent populations … …Current Research in Biostatistics, Vol. 1, Issue 1 · 30 Jun 2010 · 7,710 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComputational Analysis of Genre Effects on Movie Ratings Using MLP AlgorithmsSubir Gupta, Upasana Adhikari, Shefali Varshney, Tanupriya ChoudhuryPredictive analytics are what the entertainment industry depends on so much in prognosticating movie ratings, which is why they inform filmmakers, distributors and stream platforms strategic moves. Traditional prediction models most times only succeed in missing out on the intricate dynamics that are genre-specific to movie ratings thereby leading to inaccuracies and suboptimal decision making. The paper proposes this research … …Journal of Computer Science, Vol. 21, Issue 4 · 19 Mar 2025 · 5,534 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Exploratory Analysis to Assess Computer Literacy and E-learning Among Students: A Case of Eastern Province of Kingdom of Saudi ArabiaManal Elobaid, Rafida M. ElobaidThe current study investigated the use of ICT within the schools and higher education sectors in the eastern province of kingdom of Saudi Arabia. The objective is to evaluate how computer literacy and the implementation of e-learning could contribute to the learning and teaching process within the education sector in this area. A cross sectional survey was carried out among … …Journal of Computer Science, Vol. 13, Issue 9 · 23 Aug 2017 · 8,196 accessesView PDFCite
Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,542 accessesView PDFCite