نتایج جستجو برای: seeming unrelated regression sur

تعداد نتایج: 419462  

2007
Arne Henningsen Jeff D. Hamann

This introduction to the R package systemfit is a slightly modified version of Henningsen and Hamann (2007), published in the Journal of Statistical Software. Many statistical analyses (e.g., in econometrics, biostatistics and experimental design) are based on models containing systems of structurally related equations. The systemfit package provides the capability to estimate systems of linear...

Journal: :Genetic epidemiology 2005
Claudio J Verzilli Nigel Stallard John C Whittaker

We investigate a Bayesian approach to modelling the statistical association between markers at multiple loci and multivariate quantitative traits. In particular, we describe the use of Bayesian Seemingly Unrelated Regressions (SUR) whereby genotypes at the different loci are allowed to have non-simultaneous effects on the phenotypes considered with residuals from each regression assumed correla...

2012
Sareh Keshavarzi Seyed Mohammad Taghi Ayatollahi Najaf Zare Maryam Pakfetrat

BACKGROUND. In many studies with longitudinal data, time-dependent covariates can only be measured intermittently (not at all observation times), and this presents difficulties for standard statistical analyses. This situation is common in medical studies, and methods that deal with this challenge would be useful. METHODS. In this study, we performed the seemingly unrelated regression (SUR) bas...

Journal: :Korean Journal of Applied Statistics 2016

2001
Yonghong Wu David Popp Stuart Bretschneider

In this paper, we improve upon Coe and Helpman’s model of international R&D spillovers, using seemingly unrelated regression (SUR) to include interdependence among national economies and allow for variations in coefficients across countries. We find that the impact of knowledge spillovers on national productivity is context dependent: positive in some cases while negative in others. From our in...

1999
Thomas Richardson Heiko Bailer Moulinath Banarjees

The problem of learning the structure of a DAG model in the presence of latent variables presents many formidable challenges. In particular there are an innnite number of latent variable models to consider, and these models possess features which make them hard to work with. We describe a class of graphical models which can represent the conditional independence structure induced by a latent va...

Journal: :Computers & Industrial Engineering 2004
Adriano Mendonça Souza Robert Wayne Samohyl César O. Malavé

The main purpose of this research is to implement a multivariate feedback adjustment proportional to the last deviation from the target, in the set of variables wandering around the target. To apply the controller equation it will be necessary to study the exponentially weighted moving average (EWMA) statistic, in order to determine the behavior of the target disturbances. To determine the fore...

Journal: : 2022

The aim of the paper is to examine relationship between fiscal decentralization and government debt EU countries with respect accession, country size number levels in period 1999 – 2019 using panel data models based on six various estimators. differences regarding effect were estimated basis seemingly unrelated regression (SUR). research results have shown following: 1. public statistically sig...

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