AIBtract--A smoothing procedure is proposed, where the Gaussian filter is used with an adaptive mechanism to suppress the noise effect and quantization error of a digital curve. Those points of the smoothed curve where curvature changes abruptly are detected as breakpoints. Circular arcs are suitably designed between breakpoints to fit the input curve. Experimental results indicate that our cur...

Infrastructure recovery time estimation is critical to disaster management and planning. Inspired by recent resilience planning initiatives, we consider a situation where experts are asked estimate the for different infrastructure systems recover certain functionality levels after scenario hazard event. We propose methodological framework use expert-elicited data expected curve of particular sy...

Abstract. We show what properties of the time series we can find by examining the behavior of the conditional quasi-likelihood function, even when the time series does not necessarily satisfy the model and is not necessarily Gaussian. We consider fitting a parametric model to a time series and obtain the maximum likelihood estimates of unknown parameters included in the model by regarding the t...

to have a finite variance of the number of zeros of a centered stationary Gaussian process with twice differentiable covariance function r. This condition is known as the Geman condition, since Geman proved in 1972 that it was also a necessary condition. Up to now no such criterion was known for counts of crossings of a level other than the mean. This paper shows that the Geman condition is sti...

The effects of seeing on Sérsic r profile parameters are extensively studied using a Moffat function. This analytical approximation to the point spread function (PSF) is shown to provide the best fit to the PSF predicted from atmospheric turbulence theory when β ∼ 4.765. The Moffat PSF is additionally shown to contain the Gaussian PSF as a limiting case (β → ∞). The Moffat function is also show...