نتایج جستجو برای: respectively multiple regression models while using usft
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Introduction: Adopting preventive behaviors of premenstrual syndrome as the most key measure to prevent and control is itself affected by many variables. The aim of this study was to determine the knowledge, attitudes and beliefs of female students of Rafsanjan University of Medical Sciences about preventive behaviors of premenstrual syndrome using a health belief model in 2021. Materials and M...
Abstract Negative binomial regression model (NBR) is a popular approach for modeling overdispersed count data with covariates. Several parameterizations have been performed for NBR, and the two well-known models, negative binomial-1 regression model (NBR-1) and negative binomial-2 regression model (NBR-2), have been applied. Another parameterization of NBR is negative binomial-P regression mode...
In this study, to analyze the pattern of soil temperature changes in the depths of 5, 10, 20, 30, 50 and 100 cm under the influence of temperature (minimum, average and maximum) and humidity (minimum, average and maximum) the Pearson and regression methods were used for Taleghaan synoptic station during the period of 2008 to 2016 . The results showed that soil temperature had the highest corre...
In this work the electrooxidation half-wave potentials of some Benzoxazines were predicted from their structural molecular descriptors by using quantitative structure-property relationship (QSAR) approaches. The dataset consist the half-wave potential of 40 benzoxazine derivatives which were obtained by DC-polarography. Descriptors which were selected by stepwise multiple selection procedure ar...
in this work the electrooxidation half-wave potentials of some benzoxazines were predicted from their structural molecular descriptors by using quantitative structure-property relationship (qsar) approaches. the dataset consist the half-wave potential of 40 benzoxazine derivatives which were obtained by dc-polarography. descriptors which were selected by stepwise multiple selection procedure ar...
hammerstein-wiener (hw) models are capable in describing nonlinear dynamic systems. these models are nonlinear and have been widely used in a wide range of sciences due to their simplicity and having a physically-based concept. in this research, for the first time in hydrology and water resources management, three different structures of these models using daily temperature and precipitation da...
Both linear neural network and multiple linear regression models can be used for multi-factor analysis and forecasting, but the data of the multiple linear regression model are required to meet such conditions as independence and normality, while the data of the linear neural network are only required to have a linear relationship. This article uses the same set of data to establish respectivel...
background β-thalassemia is a prevalent genetic disease in mediterranean countries. the most common treatments for this disease are blood transfusion plus iron chelation (btic) therapy and bone marrow transplantation (bmt). patients using these procedures experience different health-related quality of life (hrqol). the purpose of the present study was to measure hrqol in these patients using 2...
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