Results 31 to 40 of about 155 (148)

A latent class analysis towards stability and changes in breadwinning patterns among coupled households

Dependence Modeling, 2019
A latent class model is proposed to examine couples’ breadwinning typologies and explain the wage differentials according to the socio-demographic characteristics of the society with data collected through surveys.
Pennoni Fulvia, Nakai Miki
doaj   +1 more source

A matrix approach to determine optimal predictors in a constrained linear mixed model

Open Mathematics
For a general vector of all unknown vectors in a constrained linear mixed model (CLMM), this study compared the dispersion matrices of the best linear unbiased predictors with any symmetric matrix for determining the optimality of predictors among others.
Güler Nesrin, Büyükkaya Melek Eriş
doaj   +1 more source

On a class of norms generated by nonnegative integrable distributions

Dependence Modeling, 2019
We show that any distribution function on ℝd with nonnegative, nonzero and integrable marginal distributions can be characterized by a norm on ℝd+1, called F-norm. We characterize the set of F-norms and prove that pointwise convergence of a sequence of F-
Falk Michael, Stupfler Gilles
doaj   +1 more source

Integration GSTARIMA with deep neural network to enhance prediction accuracy on rainfall data

Systems Science & Control Engineering
This study aimed to improve rainfall prediction accuracy by integrating spatio-temporal Generalized Autoregressive Integrated Moving Average (GSTARIMA) with Deep Neural Network (DNN) techniques.
Devi Munandar, Budi Nurani Ruchjana, Atje Setiawan Abdullah, Hilman Ferdinandus Pardede   +3 more
doaj   +1 more source

Global convergence and ascent property of a cyclic algorithm used for statistical analysis of crash data [PDF]

, 2018
In this paper, we consider an estimation algorithm called cyclic iterative algorithm (CA) that is used in statistics to estimate the unknown vector parameter of a crash data model.
Geraldo, Issa Cherif, N’Guessan, Assi, Gneyou, Kossi Essona   +2 more
core   +1 more source

Some equalities for estimations of partial coefficients under a general linear regression model

Partitioned linear model, Partial parameters, OLSE, BLUE, Equalities for estimations, Moore-Penrose inverses of matrices, Matrix rank method, 62J05, 62H12,
Yongge Tian, Jieping Zhang
core   +1 more source

Consistent estimation of regression coefficients in ultrastructural measurement error model using stochastic prior information

Consistent estimation, Measurement errors, Reliability matrix, Stochastic linear restriction, Ultrastructural model, 62J05, 62H12, 62P20,
Shalabh, Gaurav Garg, Neeraj Misra
core   +1 more source

A theorem on the covariance matrix of a generalized least squares estimator under an elliptically symmetric error

Linear regression model, Covariance matrix, Elliptically symmetric distribution, Generalized least squares estimator, Heteroscedastic model, 62J05, 62H12,
Hiroshi Kurata
core   +1 more source

On discrete multivariate distributions symmetric in frequencies

Gaussian hypergeometric function, multivariate discrete distributions, zonal polynomials, medical data, 60E05, 62H12,
A. Sáez, M. Olmo, A. Conde, J. Rodríguez   +3 more
core   +1 more source

Statistical inference for fixed-effects partially linear regression models with errors in variables

Fixed effect, Partially linear, Measurement errors, Profile least squares, Variable selection, Primary 62H12, Secondary 62A10,
Bin Zhou, Haibo Zhou, Jinhong You
core   +1 more source