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Kao and Chiang [42], Mark and Sul [44, 45] and Pedroni [43] extended the standard DOLS estimation developed by Saikkonen [38] and Stock and Watson [39].
Ongley et al. (2010) compared methods for non-point-source estimation developed in the United States regarding their application to the Chinese natural and economic conditions.
Early publications on stature estimation developed by Pearson (1899), Trotter and Gleser (1952) and Trotter and Gleser (1958) were widely used by several researchers.
An attractive alternative is to apply high-resolution frequency estimation, developed in the signal processing society over the past few decades.
In general, the reliability of these scales has been extensively studied by using classical methods for reliability estimation, developed for specifically designed reliability studies.
This paper presents the SCHADEX probabilistic method for extreme flood estimation, developed and applied since 2006 at Electricité de France (EDF) for dam spillway design.
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The process equation expresses how the variable under estimation develops over time.
To improve the accuracy and instantaneous of frequency estimation, we developed a new frequency estimation algorithm, which combined the Fast Fourier transform (FFT) and the chirp-Z transform.
A local linear two stage least squared estimation is developed to estimate coefficient functions.
An optimum multi-node MAP detector with iterative a priori probability estimation was developed to estimate the impulse densities from the spatially distributed sensor nodes.
Relative velocity estimation is developed based on the motion estimation.
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