JSTOR Daily

Mutational Contributions to Genetic Variance-Covariance Matrices: An Experimental Approach Using Induced Mutations in Arabidopsis thaliana

This is a preview. Log in through your library . Abstract Genetic potential for evolutionary change and covariational constraints are typically summarized as the genetic variance-covariance matrix G, ...
JSTOR Daily

A Multivariate Variance Components Model for Analysis of Covariance in Designed Experiments

Traditional methods for covariate adjustment of treatment means in designed experiments are inherently conditional on the observed covariate values. In order to develop a coherent general methodology ...
Nature

Comparing G: multivariate analysis of genetic variation in multiple populations

The distribution of genetic variation among multiple traits is a key determinant of how a population will respond to selection (Lande, 1979; Schluter, 1996; Arnold et al., 2001). For the prediction of ...
Nature

A Fisher scoring algorithm for the weighted regression method of QTL mapping

An improved weighted least square (LS) method for quantitative trait loci (QTL) mapping using the estimating equation (EE) algorithm was developed recently. The method is more efficient than both the ...
Insurancenewsnet.com

New Study Findings from University of Calgary Illuminate Research in Risk Management (Pricing of Averaged Variance, Volatility, Covariance and Correlation Swaps with Semi ...

2023 OCT 03 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- New research on risk management is the subject of a new report. According to news originating from Calgary, ...
InfoWorld

How to use covariance and contravariance in C#

You can use covariance and contravariance to provide polymorphic extension to delegates, arrays, and generics in C#. Here’s how. The C# programming language provides support for variance in two ways: ...