Results 151 to 160 of about 108,134 (338)
Suppose that a weakly singular linear regression model M{\mathscr{M}} and its two competing restricted models M1{{\mathscr{M}}}_{1} and M2{{\mathscr{M}}}_{2} are given.
Ren Xingwei
doaj +1 more source
ShrinkCovMat: Shrinkage Covariance Matrix Estimators [PDF]
Anestis Touloumis
openalex +1 more source
ABSTRACT Despite the broad focus on necessity‐ and opportunity‐driven entrepreneurship in research and policy, the entrepreneurial dichotomy within the agribusiness context has not been adequately addressed. This study contributes to closing this knowledge gap by examining youth's perceptions of agribusiness through the lens of the push‐pull motivation
Cool Dady Mangole +6 more
wiley +1 more source
Theoretical Analysis of an Improved Covariance Matrix Estimator in non-Gaussian Noise
Frédéric Pascal +3 more
openalex +2 more sources
A large covariance matrix estimator under intermediate spikiness regimes [PDF]
Matteo Farnè, Angela Montanari
openalex +1 more source
Return and Volatility Spillovers Among Major Cotton Markets
ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli +3 more
wiley +1 more source
Penggunaan metode Heteroscedasticity Consistent Covariance Matrix Estimator (HCCME) untuk mengatasi Heteroskedastisitas pada regresi linier [PDF]
Solichin Muchorobin
openalex
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
cvCovEst: Cross-validated covariance matrix estimator selection and evaluation in R [PDF]
Philippe Boileau +4 more
openalex +1 more source
Abstract Despite extensive modeling efforts in extraction research, transient column models are rarely applied in industry due to concerns regarding parameter identifiability and model reliability. To address this, we analyzed uncertainty propagation from estimated parameters in a previously introduced column model and assessed identifiability via ill ...
Andreas Palmtag +2 more
wiley +1 more source

