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In the modified method, gain errors are first estimated and compensated before the other errors' estimation, which guarantees the position error estimation accuracy to be higher than that in the conventional method.
Open image in new window Fig. 1 Layout of linear subsidence rates and DEM errors estimation algorithm.
Furthermore, we prove the convergence of the scheme by using errors estimation method, and the convergence rate of order ((tau+h)) is obtained.
The parameter values of optimization problems in real world are usually uncertain due to prediction errors, estimation errors, or lack of information at the time of decision.
Results can be applied for bias errors estimation or correction when fast subsample interpolation is used and application of phase domain interpolation is unacceptable due to processing speed limitations.
Recently, Gupta et al. [9] and Mishra and Khatri [10] established point-wise convergence, a Voronovskaja-type asymptotic formula and an error estimate in terms of modulus of continuity of the function and investigated moments of these operators using hypergeometric series, errors estimation in simultaneous approximation, respectively.
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Conditional treatment effect was set at log(2.5) except for Type I errors estimations (log(1)).
The one-dimensional classifier was estimated by bolstered resubstitution error estimation to have 75.1% sensitivity and 92.5% specificity.
In this modified method, gain errors are firstly estimated and compensated, which eliminates the interaction between gain error estimation and position error estimation.
The F.E. error estimation is also addressed.
Moreover an error estimation analysis is provided.
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