Results 61 to 70 of about 451,504 (196)

Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and non-linear terms [PDF]

, 2012
The paper extends existing models for multilevel multivariate data with mixed response types to handle quite general types and patterns of missing data values in a wide range of multilevel generalized linear models.
Browne, William J., Carpenter, James R., Goldstein, Harvey   +2 more
core   +2 more sources

A Combined Framework Based on Feature Selection and Multivariate Mixed-Frequency for Crude Oil Prices Point and Interval Forecasting

IEEE Access, 2023
Effective crude oil price forecasting is essential for energy supply stabilization, investment decisions, policy formulation, and economic impact assessment.
Jun Long, Lue Li, Zejun Li
doaj   +1 more source

A Latent Variable Approach to Multivariate Quantitative Trait Loci [PDF]

, 2010
A novel approach based on latent variable modelling is presented for the analysis of multivariate quantitative and qualitative trait loci. The approach is general in the sense that it enables the joint analysis of many kinds of quantitative and ...
Bob O', Mikko J. Sillanpä, Outi Savolainen, Pä   +3 more
core   +1 more source

Fast and robust estimation of the multivariate errors in variables model

, 2003
In the multivariate errors in variable models one wishes to retrieve a linear relationship of the form y = ß x + a, where both x and y can be multivariate. The variables y and x are not directly measurable, but observed with measurement error. The classical approach to estimate the multivariate errors in variable model is based on an eigenvector ...
Croux, Christophe, Fekri, M., Ruiz-Gazen, A.   +2 more
openaire   +2 more sources

Testing Measurement Invariance with Ordinal Missing Data: A Comparison of Estimators and Missing Data Techniques [PDF]

, 2019
Ordinal missing data are common in measurement equivalence/invariance (ME/I) testing studies. However, there is a lack of guidance on the appropriate method to deal with ordinal missing data in ME/I testing.
Chen, Po-Yi, Garnier-Villarreal, Mauricio, Jia, Fan, Kite, Benjamin Arthur, Wu, Wei   +4 more
core   +2 more sources

A meta-analysis on the effect of environmental enrichment on feather pecking and feather damage in laying hens

Poultry Science, 2021
Feather pecking (FP) is a significant issue in laying hens, which impacts societal acceptance of poultry farming, farm productivity, and bird welfare.
Nienke van Staaveren, Jennifer Ellis, Christine F. Baes, Alexandra Harlander-Matauschek   +3 more
doaj   +1 more source

Fractional cointegrating regressions in the presence of linear time trends [PDF]

, 1998
We consider regressions of nonstationary fractionally integrated variables dominated by linear time trends. The regression errors are short memory, long memory or even nonstationary, and hence allow for a very flexible cointegration model.
Hassler, Uwe, Marmol, Francesc
core   +1 more source

Basin structure of optimization based state and parameter estimation

, 2015
Most data based state and parameter estimation methods require suitable initial values or guesses to achieve convergence to the desired solution, which typically is a global minimum of some cost function. Unfortunately, however, other stable solutions (e.
Abarbanel, Henry D. I., Eldridge, Michael, Kostuk, Mark, Luther, Stefan, Parlitz, Ulrich, Rey, Daniel, Schumann-Bischoff, Jan   +6 more
core   +1 more source

Moment-based estimation of smooth transition regression models with endogenous variables [PDF]

Nonlinear regression models have been widely used in practice for a variety of time series and cross-section datasets. For purposes of analyzing univariate and multivariate time series data, in particular, Smooth Transition Regression (STR) models have ...
Marcelo Cunha Medeiros, Michael McAleer, Waldyr Dutra Areosa   +2 more
core   +3 more sources

A parallel attention-based framework for multi-step multivariate runoff forecasting in mountainous watersheds: Wuyuan case study

Journal of Hydrology: Regional Studies
Study region:: Wuyuan County, Jiangxi Province, China Study focus:: To address the challenges of multivariate modeling and error accumulation in multi-step runoff forecasting, we propose a Parallel Attention Multivariate Multi-step LSTM Network (PAM2 ...
Jiange Jiang, Chen Chen, Yang Zhou, Wei Han, Lei Liu, Qingqi Pei   +5 more
doaj   +1 more source