Sentence examples for concept of variance from inspiring English sources

But in that year Harry Markowitz, a graduate student at the University of Chicago, gave finance theory a new, hard-edged clarity by equating the concept of risk — previously a vague term for potential losses — with the mathematical concept of variance.

The concept of variance is very important as "directions with maximum variance" are almost directly related to the structural part of the relevant signal [52 54].

In contrast to the ordinary concept of variance, conditional variance of X given ℬ is defined as Var B X = Cov B ( X, X ).

This approach applies the statistical concept of variance components to the problem of balancing a pre-established level of analytical precision against expenses incurred in achieving this precision.

The concept of variance inflation is described more extensively in [ 24].

The present study examined the effect of gesture on undergraduate students' learning of a complex statistical concept (analysis of variance; ANOVA).

This study is the first to examine the effect of gesture on undergraduate students learning of a complex statistical concept (analysis of variance; ANOVA).

The concept of dynamic variance compensation [2] is based on a reformulation of the log-sum observation model [39]: begin{array}rcl@ mathbf{y}_{n} = mathbf{x}_{n} + logleft(1+exp widehat{mathbf{r}}_{n} - mathbf{x}_{n})right) + mathbf{b}_{n} end{array} (12).

The covariance matrix or dispersion matrix is a matrix of covariances between elements of a vector, and naturally generalizes to higher dimensions the concept of the variance of a scalar variable.

Finally, as an additional method of quantifying the linear relationships between pairs of corpora (i.e., two multidimensional variables), we defined an "overall correlation" OC based on the norms of the covariant matrices, which are the natural generalization to higher dimensions of the concept of the variance of a scalar-valued random variable.

In logistic regression models the concept of residual variance is not easy to define because the response variable is binary.