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In the RSM and the PCM, measures are also estimated that describe the functioning of the response scale.
Rasch analysis can be used in scale development, for example by reviewing the functioning of the response categories, the unidimensionality of the scale, and the targeting of the measure [ 31].
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The influence of the boundary condition on the correlation function of the response is also discussed.
The autocorrelation function of the response caused by spatially and temporally correlated random loads is obtained.
For White excitations, we solve the Fokker Plank Kolmogorov equation for the exact joint probability density function of the response.
One of these censoring times is informative in the sense that its survival function is some power of the survival function of the response.
The RSE allows to determine the mean-value and power spectral density function of the response as approximate explicit functions of the design parameters.
The aerodynamic damping from the autocorrelation function of the response acceleration for the tertiary mode, where torsional vibration is dominant, is also obtained.
A detailed structural example shows that the desired membership function of the response can be accurately estimated by the proposed method.
Furthermore, a spatial filter is applied to minimize the effects of the singular points in the applicable rational function of the response surface.
With timetas a fixed parameter, the partial spectrum is uniquely determined by the time-dependent covariance function of the response, and vice versa.
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