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The Journal of Vibration and Control is a peer-reviewed scientific journal that covers all aspects of linear and nonlinear vibration phenomena and their control. It was established in 1995 and is published by SAGE Publications .
In statistics, the quartile coefficient of dispersion (QCD) is a descriptive statistic which measures dispersion and is used to make comparisons within and between data sets. Since it is based on quantile information, it is less sensitive to outliers than measures such as the coefficient of variation .
By multiplying both sides of the equation by and dividing by the scalar , it is possible to express the eigenvalue problem as follow: = = for m = 1, 2, 3, ..., n. In the previous equation it is also possible to observe that the numerator is proportional to the potential energy while the denominator depicts a measure of the kinetic energy.
Consider an open disk of radius centered at the origin, which will represent the "still" drum head shape. At any time , the height of the drum head shape at a point (,) in measured from the "still" drum head shape will be denoted by (,,), which can take both positive and negative values.
For example, they require the median and 25% and 75% quartiles as in the example above or 5%, 95%, 2.5%, 97.5% levels for other applications such as assessing the statistical significance of an observation whose distribution is known; see the quantile entry.
Interactive help is available. The program provides methods that are appropriate for matched and independent t-tests, [2] survival analysis, [5] matched [6] and unmatched [7] [8] studies of dichotomous events, the Mantel-Haenszel test, [9] and linear regression. [3]
For a system (such as a molecule or solid) with uncoupled vibrational modes the vibrational partition function is defined by =, where is the absolute temperature of the system, is the Boltzmann constant, and , is the energy of the jth mode when it has vibrational quantum number =,,, ….
Quantile regression is a type of regression analysis used in statistics and econometrics. Whereas the method of least squares estimates the conditional mean of the response variable across values of the predictor variables, quantile regression estimates the conditional median (or other quantiles) of the response variable.