Quantile Estimation Using the Log-Skew-Normal Linear Regression Model with Application to Children’s Weight Data

نویسندگان

چکیده

In this article, we establish properties that relate quantiles of the log-skew-normal distribution to its parameters, allowing us investigate relationship between a positive skewed response variable and set explanatory variables via linear regression model. We compute maximum likelihood estimates parameters through correspondence skew-normal models. Monte Carlo simulations show satisfactory performance quantile estimators. An application children’s data is presented discussed.

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ژورنال

عنوان ژورنال: Mathematics

سال: 2023

ISSN: ['2227-7390']

DOI: https://doi.org/10.3390/math11173736