Facultad de Ciencias Básicas
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Ítem The Power Muth Distribution*(2017) Jodrá, P.; Gómez, H.W.; Jiménez-Gamero, M.D.; Alba-Fernández, M.V.Ítem Modified slash Birnbaum-Saunders distribution(2017) Reyes, J.; Vilca, F.; Gallardo, D.I.; Gómez, H.W.Ítem Modified Slash Lindley Distribution(2017) Reyes, J.; Venegas, O.; Gómez, H.W.Ítem Censored bimodal symmetric-asymmetric families(2018) Martínez-Flórez, G.; Bolfarine, H.; Gómez, H.W.Ítem Generalized modified slash Birnbaum-Saunders distribution(2018) Reyes, J.; Barranco-Chamorro, I.; Gallardo, D.I.; Gómez, H.W.Ítem Corrigendum to: Skew-normal alpha-power model (Statistics, (2014), 48, 6, (1414-1428), 10.1080/02331888.2013.826659)(2018) Salinas, H.S.; Gómez, H.W.; Martínez-Flórez, G.; Bolfarine, H.Ítem Betel and tobacco chewing habit and its relation to risk factors for periodontal disease(2018) Giovannoni, M.L.; Valdivia-Gandur, I.; Lozano de Luaces, V.; Varela Véliz, H.; Balasubbaiah, Y.; Chimenos-Küstner, E.Ítem Truncated power-normal distribution with application to non-negative measurements(2018) Castillo, N.O.; Gallardo, D.I.; Bolfarine, H.; Gómez, H.W.Ítem Melatonin relations with respiratory Quotient Weaken on acute exposure to high altitude(2018) Tapia, M.; Wulff-Zottele, C.; De Gregorio, N.; Lang, M.; Varela, H.; Serón-Ferré, M.J.; Vivaldi, E.A.; Araneda, O.F.; Silva-Urra, J.; Gunga, H.-C.; Behn, C.Ítem Skewness of maximum likelihood estimators in the weibull censored data(2019) Magalhães, T.M.; Gallardo, D.I.; Gómez, H.W.Ítem The Slashed-Rayleigh Fading Channel Distribution(2019) Gomez-Deniz, E.; Gómez, L.; Gómez, H.W.Ítem An asymmetric bimodal distribution with application to quantile regression(2019) Gómez, Y.M.; Gómez-Déniz, E.; Venegas, O.; Gallardo, D.I.; Gómez, H.W.Ítem A transmuted version of the generalized half-normal distribution(2019) Salinas, H.S.; Iriarte, Y.A.; Astorga, J.M.Ítem Observational cross-sectional study of Trichomonas tenax in patients with periodontal disease attending a Chilean university dental clinic(2019) Bracamonte Wolf, Casandra ; Orrego, Patricio R. ; Muñoz, Christian ; Herrera, Daniel ; Bravo, Joel ; Gonzalez, Jorge ; Varela, Héctor ; Catalán, Alejandro; Araya, Jorge E.Background: The oral flagellated protozoan Trichomonas tenax has been associated with patients with periodontal disease. However, no recent studies have been conducted on the prevalence of T. tenax in Chile. The aim of this study was to determine the presence of T. tenax in patients with periodontal disease, admitted to the Dental Clinic of the University of Antofagasta, Chile, through Polymerase Chain Reaction (PCR) amplification of the beta-tubulin gene. Methods: An observational, cross-sectional study was conducted on 50 patients diagnosed with periodontal disease, 20 of them with gingivitis and 30 with periodontitis. T. tenax was identified by PCR amplification of the beta-tubulin gene. Associations between the protozoan and periodontal disease or the presence of risk factors to establish T. tenax infection were determined using the chi-square test and binary logistic regression analysis. Results: T. tenax was present in 28 out of 50 (56%) of patients with periodontal disease, and was more prevalent when associated with periodontitis (21 out of 30; 70%) than dental plaque-induced gingivitis (7 out of 20; 35%). Non-statistically-significant associations were observed between the presence of T. tenax and age, gender, smoking habit or diabetes. Statistically significant associations were observed between the presence of T. tenax and periodontal disease, and between T. tenax and the Periodontal Screening and Recording (PSR) index. Conclusion: T. tenax showed a high presence in patients with progressive states of periodontal diseases. Consequently, T. tenax detection is strongly recommended in patients with periodontal disease diagnosis and with a PSR index greater than 3.Ítem An asymmetric distribution with heavy tails and its expectation-maximization (EM) algorithm implementation(2019) Olmos, N.M.; Venegas, O.; Gómez, Y.M.; Iriarte, Y.A.Ítem Univariate and bivariate models related to the generalized epsilon-skew-Cauchy distribution(2019) Arnold, B.C.; Gómez, H.W.; Varela, H.; Vidal, I.Ítem Modified power-symmetric distribution(2019) Gómez-Déniz, E.; Iriarte, Y.A.; Calderín-Ojeda, E.; Gómez, H.W.Ítem Flexible Birnbaum-Saunders distribution(2019) Martínez-Flórez, G.; Barranco-Chamorro, I.; Bolfarine, H.; Gómez, H.W.Ítem Bimodal extension based on the skew-t-normal distribution(2019) Amiri, M.; Gómez, H.W.; Jamalizadeh, A.; Towhidi, M.Ítem A Gamma-type distribution with applications(MDPI, 2020) Iriarte, Yuri A.; Varela, Héctor; Gómez, Héctor J.; Gómez, Héctor W.This article introduces a new probability distribution capable of modeling positive data that present different levels of asymmetry and high levels of kurtosis. A slashed quasi-gamma random variable is defined as the quotient of independent random variables, a generalized gamma is the numerator, and a power of a standard uniform variable is the denominator. The result is a new three-parameter distribution (scale, shape, and kurtosis) that does not present the identifiability problem presented by the generalized gamma distribution. Maximum likelihood (ML) estimation is implemented for parameter estimation. The results of two real data applications revealed a good performance in real settings.