Sentence examples for regression equivalent from inspiring English sources

We used a logistic regression equivalent to the Cox-Armitage trend test.

Trends in the prevalence of TDR were calculated by logistic regression equivalent to the Cox-Armitage trend test.

For the sake of comparison the liner regression equivalent is provided.

aThe Nagelkerke R Square is the logistic regression equivalent of the usual coefficient of determination used in multiple linear regression [ 16]. aRegression Co-efficient.

These properties can be achieved with a fourth order polynomial penalty, which is a form of bridge regression (equivalent to a prior from the exponential power family) that does not provide sparse solutions and is similar to a uniform prior in the range (-1,1).

We first fit a regression, equivalent to Fisher's multiplicative model of genetic independence [see (Addinall et al. 2011) for details], to mean fitnesses across the collection, using the lm function in R: [ x y z   y f g Δ ˜ ] = m [ l y p 1 Δ   y f g Δ ˜ ] where square brackets denote fitness and tildes denote average (mean) values for each strain.

We first show that a t-test for the significance of a dummy coded predictor variable in a linear regression is equivalent to the modified t-test of Crawford and colleagues.

Examples include the feature space maximum-likelihood linear regression (fMLLR, equivalent to global CMLLR), SPLICE feature compensation [17], etc.

Here, are the ordinary least squares (OLS) regression coefficients, equivalent to equation 2 with.

In this context, Poisson regression is equivalent to Cox regression [ 21], and the parameters estimated are the same.

When parents traded-off less than their full life expectancy, interval regression was equivalent to ordinary least squares regression.