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Data-influence analytics in predictive models applied to asthma disease
Tapia, Alejandra; Giampaoli, Viviana; Leiva, Víctor; Lio, Yuhlong (2020)Asthma is one of the most common chronic diseases around the world and represents a serious problem in human health. Predictive models have become important in medical sciences because they provide valuable information for ...
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Diagnostic analytics for an autoregressive model under the skew-normal distribution
Liu, Yonghui; Mao, Guohua; Leiva, Víctor; Liu, Shuangzhe; Tapia, Alejandra (2020)Autoregressive models have played an important role in time series. In this paper, an autoregressive model based on the skew-normal distribution is considered. The estimation of its parameters is carried out by using the ...
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On a logistic regression model with random intercept: diagnostic analytics, simulation and biological application
Tapia, Alejandra; Leiva, Víctor; Galea, Manuel; Werneck, Rachel (2020)This article proposes a methodology for diagnostics in a logistic regression with random intercept motivated by a biological study. The methodology includes local and global influence techniques allowing us to contrast the ...
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On some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data
Castro-Kuriss, Claudia; Huerta, Mauricio; Leiva, Víctor; Tapia, Alejandra (2020)In this work, we present goodness-of-fit tests related to the Kolmogorov-Smirnov and Michael statistics and connect them to graphical methods with uncensored and censored data. The Anderson-Darling test is often empirically ...