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The ensemble mean removes the excessive noise, leaving the predictable component, but variance corrections to the ensemble mean and members are required to ensure that the predictable component in the resultant model forecast is equivalent to that in the observations.
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We call it a variance correction factor and compute its value via simulations.
We also introduce a variance correction factor to provide a rectification to the equivalent total noise variance at the destination.
Fig. 7 The error rate performance of the proposed SIR scheme in Rayleigh fading and AWGN channels using different variance correction factors α=(0.5,1,1.5,2,2,5).
This kind of algorithm uses chirp multiplications and FFTs in the frequency domain to achieve the 2-D spatial variance correction which avoids the use of interpolation.
Also, a variance coefficient at the destination (referred to as a variance correction factor) is proposed to improve the accuracy of the Gaussian approximation made initially in the previous work in [5] on the equivalent noise modeling at the destination.
This section estimates the price elasticity of electricity demand in both the industrial and commercial sectors using the two-step GMM (Arellano Bond) estimator with finite sample variance correction, as proposed by Windmeijer (2005).
In all the simulations we keep the relay at S N R iR =1 dB to represent poor channel condition Fig. 8 The error rate performance of the proposed SIR scheme with assymtric setup in Rayleigh fading and AWGN channels using different variance correction factors α=(0.5,1,1.5,2,2,5).
In addition to the variance correction, this method calculates maximum likelihood shifting and scaling calibration parameters for different arrays, using known non-differentially expressed spots.
The model parameters were estimated applying weighted least squares with mean and variance correction (WLSMV).
Exponentiated coefficients (including a variance correction (Kennedy, 1981)) for indicator variables are in italics.
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