Results 41 to 50 of about 124,454 (198)

Hospital Proximity and Mortality in Australia

Risks, 2019
It is intuitive that proximity to hospitals can only improve the chances of survival from a range of medical conditions. This study examines the empirical evidence for this assertion, based on Australian data.
Andrew Leung
doaj   +1 more source

Using auxiliary residuals to detect conditional heteroscedasticity in inflation [PDF]

, 2006
In this paper we consider a model with stochastic trend, seasonal and transitory components with the disturbances of the trend and transitory disturbances specified as QGARCH models.
Broto, Carmen, Ruiz, Esther
core   +1 more source

Generalized Least Squares and Weighted Least Squares Estimation Methods for Distributional Parameters

Revstat Statistical Journal, 2015
Regression procedures are often used for estimating distributional parameters because of their computational simplicity and useful graphical presentation. However, the resulting regression model may have heteroscedasticity and/or correction problems and
Yeliz Mert Kantar
doaj   +1 more source

Heteroscedastic Ensemble Postprocessing

Monthly Weather Review, 2014
AbstractEnsemble variances provide a prediction of the flow-dependent error variance of the ensemble mean or, possibly, a high-resolution forecast. However, small ensemble size, unaccounted for model error, and imperfections in ensemble generation schemes cause the predictions of error variance to be imperfect.
Elizabeth A. Satterfield, Craig H. Bishop   +1 more
openaire   +1 more source

Semiparametric hierarchical model with heteroscedasticity [PDF]

Statistics and Its Interface, 2017
Recent work on hierarchical data analysis mainly focuses on the multilevel structure of the mean response. Little research for hierarchical heteroscedasticity was done in the literature. In this paper, we propose a class of hierarchical models with heteroscedasticity and then investigate the semi-parametric statistical inferences.
Ma, Chuoxin, Tian, Maozai, Pan, Jianxin
openaire   +1 more source

The Relation between Monetary Policy and the Stock Market in Europe

Econometrics, 2018
We use a cointegrated structural vector autoregressive model to investigate the relation between monetary policy in the euro area and the stock market. Since there may be an instantaneous causal relation, we consider long-run identifying restrictions for
Helmut Lütkepohl, Aleksei Netšunajev
doaj   +1 more source

Heteroscedasticity irrelevance when testing means difference [PDF]

, 2018
Peer ...
Flores, Pablo, Ocaña, Jordi
core  

Regression Diagnostics with Predicted Residuals of Linear Model with Improved Singular Value Classification Applied to Forecast the Hydrodynamic Efficiency of Wave Energy Converters

Applied Sciences, 2021
In the preliminary stages of design of the oscillating water column (OWC) type of wave energy converters (WECs), we need a reliable cost- and time-effective method to predict the hydrodynamic efficiency as a function of the design parameters.
Kiril Tenekedjiev, Nagi Abdussamie, Hyunbin An, Natalia Nikolova   +3 more
doaj   +1 more source

Fisher Information Matrix for Two-way Random e Effects Model with Heteroscedasticity

Revstat Statistical Journal
Model specification and selection are important aspects of modeling exercises. In this context, the Fisher Information Matrix (FIM) plays an essential role.
Patrice Takam Soh, Eugene Kouassi, Jean Marcelin Bosson Brou, Saralees Nadarajah   +3 more
doaj   +1 more source

Heterogeneous Transfer Learning for Linear Regression Model with Heteroscedasticity

Mathematics
We consider the transfer learning problem in the linear regression model, where the source domain and target domain have different features and the model exhibits heteroscedasticity.
Hongxia Hao, Hongqian Hu, Yao Cheng
doaj   +1 more source