Sentence examples for model for variance from inspiring English sources

Such analyses require many assumptions, including a model for population change and a model for variance.

Given the very limited information about lemon sharks, especially demographics outside the nursery, we have no model for variance, covariance and (or) likelihood functions required by these other techniques.

A reaction norm model to estimate genetic variance for macro-environmental sensitivity was combined with a structural model for residual variance to estimate genetic variance for micro-environmental sensitivity using a double hierarchical generalized linear model in ASReml.

However, if genetic heterogeneity of variance exists, Mendelian sampling deviations are also expected to affect the level of residual variance and an animal model for the variance would be theoretically more correct.

In Supplementary Appendix B, we discuss tr(H) and as definitions of effective degrees of freedom for the model and for variance, respectively.

We first ran a combined data analysis by a linear mixed model approach for variance component estimation and a jackknife approach for statistical test.

†Calculated from second order penalised quasi-likelihood multilevel logistic regression model adjusted for variance at general practitioner and practice level (random intercept at practice and general practitioner level).

The two models account for variance in PRNT titers due to differences between strains (Model A) or articles (Model B).

An equivalent model for multibreed variance covariance estimation is presented.

The best-fit model for explaining variance in the number of fish caught, and hence survival, was an interactive model including source population and study lake (Table 2).

In addition, the standard deviations of the resulting distributions conditional on the independent variables (protein physical interaction degree, toxicity degree, TATA box, number of TFs) differed widely, making the linear model for the variance invalid.