Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Thomas Mageto"'
Publikováno v:
BMC Research Notes, Vol 16, Iss 1, Pp 1-6 (2023)
Abstract Objective The goal of this study is to develop a Modified Sharp Regression Discontinuity model to predict alcohol consumption in People Living with Human Immunodeficiency Virus (HIV) and Acquired Immunodeficiency Syndrome (AIDS). Previous st
Externí odkaz:
https://doaj.org/article/b1c39de8299f48e59088e9bca77d739e
Publikováno v:
Open Journal of Statistics. 12:676-690
Publikováno v:
Open Journal of Statistics. 12:433-441
Publikováno v:
International Journal of Mathematics Trends and Technology. 67:9-20
Publikováno v:
Open Journal of Statistics. 11:493-505
Spatial modeling has largely been applied in epidemiology and disease modeling. Different methods such as Generalized linear models (GLMs) have been made available to prediction of the claim frequencies. However, due to heterogeneity nature of polici
Publikováno v:
International Journal of Data Science and Analysis. 8:47
Autor:
Thomas Mageto
Publikováno v:
American Journal of Computer Science and Technology. 5:1
Publikováno v:
International Journal of Data Science and Analysis. 8:30
Publikováno v:
American Journal of Applied Mathematics and Statistics. 6:186-200
Artificial Neural Network (ANN) is a parallel connection of a set of nodes called neurons which mimic biological neural system. Statistically, ANN represents a class of non-parametric models which is capable of approximating a non-linear function by
Publikováno v:
American Journal of Applied Mathematics and Statistics. 6:25-35
Generalized Additive Models for Location, Scale and Shape (GAMLSS)is a very flexible model class, extending the classical Generalized Additive Model (GAM) framework. Not only the mean, but all distribution parameters are regressed to the predictors.