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32 results for “hypothesis testing”
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Research ArticleOpen accessPhrase in the titleFunctional Non-Inferiority Hypothesis Testing for Longitudinal DataArsène Brunelle Sandie, Anthony Wanjoya, Jules Brice Tchatchueng-MbouguaThe study pattern of non-inferiority trials is increasingly used to show the non-inferiority of new health intervention. Although in such studies the data are longitudinally collected (data held over a period of time), the conclusion of these non-inferiority trials is based on data observed at a specific time during the study period (usually at the end of the study period). … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 29 Aug 2019 · 6,933 accessesView PDFCite
Research ArticleOpen accessIn the keywords"BIVARIATE DISTRIBUTION" FOR INFRASTRUCTURES AMONG OPERATIVE, NATURAL AND NO MENOPAUSESRamalingam ShanmugamMenopause is not an illness but rather an important event as it changes the body physiology and mental cognition via hormonal changes. During data analysis of menopauses incidence data, new bivariate distribution is discovered. Their marginal, conditional distribution and statistical properties including the inter and partial correlations are explored and utilized to interpret menopauses data. A likelihood ratio hypothesis testing … …Current Research in Biostatistics, Vol. 4, Issue 2 · 23 Aug 2014 · 7,314 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Test on the Multivariate Behrens–Fisher Problem in High–Dimensional Data by Block Covariance EstimationParanut Sukcharoen, Samruam ChongcharoenIn this paper, we proposed a new testing statistic for testing the equality of mean vectors from two multivariate normal populations when the covariance matrices are unknown and unequal in high–dimensional data. A new test is proposed based on the idea of keeping more information from the sample covariance matrices as much as possible. A proposed test is invariant under … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 2 Apr 2019 · 7,369 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn 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 keywordsWhether Gaussian Nucleus Entropy Helps? Case in Point is Prediction of Number of Cesarean BirthsRamalingam ShanmugamIn this article, entropy in the collected data about the Gaussian population mean is traced from its embryonic stage as new data are periodically collected. The traditional Shannon's entropy has shortcomings from the data analytics point of view and it creates a necessity to refine the Shannon's entropy. Its refined version is named Gaussian Nucleus Entropy in this article. Advantages … …Current Research in Biostatistics, Vol. 6, Issue 2 · 31 Dec 2016 · 8,056 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIntervened 2-Tier Poisson Distribution for Understanding Hospital Site InfectivityR. ShanmugamProblem statement: Whether it is a surgical site or medical treatment at a hospital site, the nurses in particular and the entire medical team including surgeons/physicians in general undergo a risk of being infected ironically by the patients whom they intend to disinfect. There are 2-tiers of patients at the site. One type consists of patients who are internally and … …International Journal of Research in Nursing, Vol. 3, Issue 1 · 31 Mar 2012 · 6,925 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSome Test Statistics for Testing the Binomial Parameter: Empirical Power ComparisonFlorence George, B.M. Golam KibriaProblem statement: The Binomial distribution is one of the most useful probability distributions in the filed of quality control, physical and medical sceinces. Many questions of interest to the health worker related to make inference about the unknown population proportion, parameter of binomial distribution. This study considers the problem of hypotheses testing of the parameter of a binomial distribution. Approach: … …Current Research in Biostatistics, Vol. 1, Issue 2 · 31 Dec 2010 · 7,870 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Dynamic Lifelong Learning Network for Real-Time Stock Prediction With Reinforcement TuningTalent Mawere, Selvaraj Rajalakshmi, Venu Madhav Kuthadi, Otlhapile DinakanyaneCompanies and investors require accurate market forecasting to make more informed decisions. Traditional methods for predicting stock market performance have become less useful considering the dynamic and volatile nature that characterizes stock markets today. In this paper, we propose an innovative Dynamic Lifelong Learning Network for stock market prediction. The model incorporates a hybrid convolutional long short-term memory with an … …Journal of Computer Science, Vol. 22, Issue 2 · 20 Feb 2026 · 1,822 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Disaster Resilience through Spatial Planning Strategies, a Case Study of Bono Region, GhanaAmponsah Maxwell, Nandi Nandi, Maryani EnokThe adverse impact of climate change has necessitated the global community to leverage spatial planning to curb the negative impacts of such incidents. Disasters continue to occur in human settlements, which makes it necessary to develop resilience through spatial planning strategies. The research question underpinning this study is, how can disaster resilience be improved through spatial planning strategies? Reducing the … …Journal of Social Sciences, Vol. 20, Issue 1 · 30 Dec 2024 · 5,008 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Risk of Diabetes using a Model based on Multilayer Perceptron and Features ExtractionFrancesca Fallucchi, Alessandro CabroniDiabetes (diabetes mellitus) is a disease emerging when a person has a high blood sugar level for a prolonged period. In the healthcare context, one of the most important topic is the prevention of the disease. This study relates to diabetes prevention. In particular, it aims to produce random generated datasets according to a rule named Finnish Diabetes Risk Score … …Journal of Computer Science, Vol. 17, Issue 9 · 7 Sep 2021 · 6,580 accessesView PDFCite