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A deviation from the contractual performance requirements or approved drawings should be submitted as a RFD. [4] An RFD is a specific written authorization to depart from a particular requirement of an item's approved configuration documentation for a specific number of units or period of time. A deviation does not change configuration ...
A variance is a deviation from the set of rules a municipality applies to land use and land development, typically a zoning ordinance, building code or municipal code. The manner in which variances are employed can differ greatly depending on the municipality .
An advantage of variance as a measure of dispersion is that it is more amenable to algebraic manipulation than other measures of dispersion such as the expected absolute deviation; for example, the variance of a sum of uncorrelated random variables is equal to the sum of their variances. A disadvantage of the variance for practical applications ...
The Madison County Board of Adjustment denied a request to Terri Moser for a variance from 50 feet to 25 feet in the Mountain Ridge Protection Ordinance for building at a site in the Seven Glens ...
Throughout this article, boldfaced unsubscripted and are used to refer to random vectors, and Roman subscripted and are used to refer to scalar random variables.. If the entries in the column vector = (,, …,) are random variables, each with finite variance and expected value, then the covariance matrix is the matrix whose (,) entry is the covariance [1]: 177 ...
Variance (the square of the standard deviation) – location-invariant but not linear in scale. Variance-to-mean ratio – mostly used for count data when the term coefficient of dispersion is used and when this ratio is dimensionless, as count data are themselves dimensionless, not otherwise. Some measures of dispersion have specialized purposes.
The mean and the standard deviation of a set of data are descriptive statistics usually reported together. In a certain sense, the standard deviation is a "natural" measure of statistical dispersion if the center of the data is measured about the mean. This is because the standard deviation from the mean is smaller than from any other point.
Bias in standard deviation for autocorrelated data. The figure shows the ratio of the estimated standard deviation to its known value (which can be calculated analytically for this digital filter), for several settings of α as a function of sample size n. Changing α alters the variance reduction ratio of the filter, which is known to be