Results 81 to 90 of about 1,926,955 (188)

Customer Churn Prediction Pada Sektor Perbankan Dengan Model Logistic Regression dan Random Forest

Computer Science
– Customer churn is a detrimental phenomenon in the banking sector because it can reduce revenue and increase the cost of acquiring new customers. This research aims to compare the performance of two models, Logistic Regression and Random Forest, to ...
Ely Mufida, Doni Andriansyah, Hylenarti Hertyana   +2 more
doaj   +1 more source

Genetic parameters for methane production, intensity, and yield predicted from milk mid-infrared spectra throughout lactation in Holstein dairy cows

Journal of Dairy Science
: Genetic selection to reduce CH4 emissions is a promising solution for reducing the environmental impact of dairy cattle production. Before such a selection program can be implemented, however, it is necessary to have a better understanding of the ...
S. Fresco, D. Boichard, S. Fritz, P. Martin   +3 more
doaj   +1 more source

An Analysis of Housing Expenditure Using Semiparametric Models and Panel Data [PDF]

In this paper we model expenditure on housing for owners and renters by means of endogenous switching regression models for panel data. We explain the share of housing in total expenditure from a household specific effect, family characteristics and ...
Charlier, E., Melenberg, B., Soest, A.H.O. van   +2 more
core   +1 more source

Robust Inference Under Heteroskedasticity via the Hadamard Estimator

, 2018
Drawing statistical inferences from large datasets in a model-robust way is an important problem in statistics and data science. In this paper, we propose methods that are robust to large and unequal noise in different observational units (i.e ...
Dobriban, Edgar, Su, Weijie J.
core  

Estimation of genetic parameters and comparison of random regression animal and sire models of production traits in the first three lactations of Iranian Holsteins [PDF]

Biotechnology in Animal Husbandry, 2014
This study was conducted to compare of random regression (RR) animal and sire models for estimation of the genetic parameters for production traits of Iranian Holstein dairy cows.
Mohammadi A., Alijani S.
doaj  

Genetic prediction for first-service conception rate in Angus heifers using a random regression model. [PDF]

Transl Anim Sci, 2020
Sánchez-Castro MA, Thomas MG, Enns RM, Speidel SE.   +3 more
europepmc   +1 more source

Impact of the Order of Legendre Polynomials in Random Regression Model on Genetic Evaluation for Milk Yield in Dairy Cattle Population. [PDF]

Front Genet, 2020
Li J, Gao H, Madsen P, Li R, Liu W, Bao P, Xue G, Gao Y, Di X, Su G.   +9 more
europepmc   +1 more source

Estimating covariance functions for longitudinal data using a random regression model

Genetics Selection Evolution, 1998
Meyer Karin
doaj   +1 more source

Incorporating the single-step strategy into a random regression model to enhance genomic prediction of longitudinal traits. [PDF]

Heredity (Edinb), 2017
Kang H, Zhou L, Mrode R, Zhang Q, Liu JF.   +4 more
europepmc   +1 more source

A Bayesian generalized random regression model for estimating heritability using overdispersed count data. [PDF]

Genet Sel Evol, 2015
Mair C, Stear M, Johnson P, Denwood M, Jimenez de Cisneros JP, Stefan T, Matthews L.   +6 more
europepmc   +1 more source