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Bivariate Normal Distribution

Known as: Bi-variate Normal Distribution 
A normal distribution which models two variables of interest. The parameters of the bivariate normal distribution include the mean and variance of… 
National Institutes of Health

Papers overview

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2015
2015
Sinh-normal distribution is a symmetric distribution with three parameters. In this paper we introduce bivariate sinh-normal… 
2015
2015
This article employs a variety of econometric models (including OLS, VEC/VAR, DCC GARCH and a class of copula-based GARCH models… 
2014
2014
BackgroundThe major obstacles for the implementation of genomic selection in Australian beef cattle are the variety of breeds and… 
2012
2012
A combined dual-tree transform wavelet (DT-CWT) and Bivariate Shrinkage for medical image watermarking is proposed in this paper… 
Review
2011
Review
2011
Unbinned maximum likelihood is a common procedure for parameter estimation. After parameters have been estimated, it is crucial… 
2008
2008
We propose a novel and efficient SAR image despeckling via bivariate shrinkage based on contourlet transform, which has been… 
2004
2004
Several techniques to estimate the hedge ratio with index futures contracts have been proposed in the literature. While these… 
Review
2004
Review
2004
This paper is concerned with an important aspect of regional income convergence, b-convergence, which refers to the negative… 
2002
2002
The objective of this paper is to analyze the interrelationship between the all share, gold, and industrial indexes of the… 
1996
1996
Shared genetic and familial environmental causes for the associations among resting metabolic rate (RMR), fat-free mass (FFM…