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A summary of our difference-in-difference model estimates is presented in Table 2.
An analysis of uncertainty associated with Probable Maximum Precipitation (PMP) estimates is presented.
Therefore, a method to choose an appropriate truncated degree for the elevation estimates is presented to enhance the estimate accuracy.
The influence of the truncation errors on the DOA estimate accuracy is analyzed and a method to choose the truncated degree for the elevation estimates is presented.
Then the main result of this article, which is derived via the asymptotic expansions and uniform error estimates, is presented in Sect. 4.
Passive system reliability analysis using recently proposed Response Conditioning Method, which incorporates the insights obtained from approximate solutions like response surfaces in simulations to obtain computationally efficient and consistent probability estimates, is presented in this paper.
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Model estimates are presented in Table 4.
Initial ideas and first estimates are presented.
The latent class model estimates are presented in Table 6.
Key estimates are presented in panel A of Table 3.
The parameter estimates are presented in Table 3.
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