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Research ArticleOpen accessSubsample Goal Model for Multihalver on OutliersB. OnoghojobiProblem statement: In this study, a delete-half jackknife problem reformulated as a subsample multihalver was presented. Approach: In this respect, exploiting outlier nomination and estimation, since considering all possible half-sample is unpractical and unfeasible were considered. Results: We derived subsample algorithm which is unbiased multihalver and the performance of the model in formulating the subsample multihalver was shown. Conclusion: The … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 6,923 accessesView PDFCite
Research ArticleOpen accessAn Instant of Performance Criteria for Outlier IdentificationB. OnoghojobiProblem statement: Different approach to deal with criteria for multivariate outlier identification procedures when it was studentized was presented. Approach: In this respect, associated unpractical dynamic linear model and outlier identification were considered. Results: A resultant studentized Becker outlier version for multivariate outlier was obtained, as an improvement on the original model. Conclusion: The studentized Becker multivariate outlier incorporated the … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 6,994 accessesView PDFCite
Research ArticleOpen accessHill Climbing Method Using Claus Model for Categorical DataB. OnoghojobiProblem statement: In this study, a locally unbiased test statistic based on the Claussian method was presented. Approach: In this respect, exploiting special structures of modified quadratic hill climbing method and the Claussian statistics were considered. Results: We derived a non-modified quadratic hill-climbing procedure. The performance of the model in testing the estimation of Latent data was shown. Conclusion/Recommendations: The … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,301 accessesView PDFCite
Research ArticleOpen accessAn Extension of Yoshida, Imoto, Higuchi and Miyano ResultB. OnoghojobiProblem statement: Different approaches to deal with dynamic model when it is studentized are presented. Approach: In this respect, the recursive formula for calculating state space in the canonical form. Results: The asymptotic distribution of their test under the linear system for the gene network and a studentized-dynamic linear model with Markov denoising switching for estimating time-dependent gene network structure … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 6,802 accessesView PDFCite