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In this context, many nonlinear time series models (see, among others, [1 5]) which have been more effective in capturing certain features of time series data were proposed.
Use of Chi and Gamma speech priors was further studied in [16] and training-based procedures using the histograms of clean speech data were proposed for the estimation of the speech STSA prior parameters.
As compared to the classic results in [8, 17, 30, 36], where smallness conditions on the (H^{3} -norm of tH^{3} -normdata were profosed, we are able theprove the global exinitial andataponential stability for the strong solutions to the initial boundary problem under only the (H^{2})-norm of the initial data is sufficiently small.
Based on these motifs, potential sources of RNA ends that constitute degradome data were proposed and further examined.
Three sentinel site selection approaches for a sentinel syndromic surveillance system using abattoir condemnation data were proposed and compared to the full set of provincially inspected abattoirs in Ontario from 2001 2007.
Transformations introduced by Bartlett (1947) for non-normal data were proposed for variance-stabilization to fulfill the assumption of homogeneous variance; they are still considered standard procedures in many agricultural disciplines.
Similar(53)
Comparison with available experimental data is proposed.
Finally, a theoretical interpretation of the obtained data is proposed.
A denoising technique for single channel data is proposed.
Improved models based on existing data are proposed.
The algorithm how to choose appropriate data is proposed too.
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CEO of Professional Science Editing for Scientists @ prosciediting.com