Sentence examples for variance we need from inspiring English sources

To study the theory of ϕ-Jensen variance, we need to introduce the relevant concepts and properties of the interval functions in this section.

In order to study the hierarchical and the traditional teaching models from the angle of the analysis of variance, we need to recall the definition of the truncated random variable as follows [1].

In order to study the hierarchical teaching model and the traditional teaching model from the angle of the analysis of variance, we need to recall the definition of truncated random variable.

Since overly complex models may result in stochastic error (inflated variance), we need to find an equilibrium between fit and complexity.

Since we have fixed within-study variances, we need to tell proc mixed to incorporate this appropriately; this can be accomplished by using a weight, w i = 1 / σ i 2. The random option induces a random effect (here study) with associated variance component τ, which is estimated.

We don't need to eliminate variance; rather, we need to predict it.

Assuming the constellation energy is known and the noise variance is known, we need to calculate the error power to be able to evaluate the EVM.

To study the theory of ϕ-Jensen variance, in this section, we need to study the log concavity and the quasi-log concavity of functions.

In a practical setup, in order to compute the noise variance due to leakage, we need to use the approximation (hat {v}_{k-1} approx v_{k-1}), where (hat {v}_{k-1}) is estimated by the filtering method.

In order to accurately estimate the variance of an AAF we need to determine how many samples are required.

The larger variance around the random intercept teacher seems to show that there is more variance in this level, but we need to be careful with statements on causality because a part of the random intercept variance can still be explained by other variables that we did not measure in this study.