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Detection of Gaussian targets with unknown correlation coefficient.
First, the detection of Gaussian fluctuating targets with unknown correlation coefficient in AWGN is studied.
This case study has been subdivided into two: Detection of Gaussian targets with unknown correlation coefficient.
Again, this case study has been subdivided into two: Detection of Gaussian targets with unknown correlation coefficient.
Different experiments have been performed for detecting fluctuating radar targets (Gaussian targets with unknown correlation coefficient and Swerling I target with unknown Doppler shift) in AWGN, and in correlated Gaussian clutter plus AWGN.
Again, two different kinds of targets are considered: those with unknown correlation coefficient (ρ t ), and Swerling I targets with unknown Doppler shift (the Doppler shift is modeled as a uniform random variable in the interval [0,2Π)).
Similar(54)
GEE is performed to estimate the parameters of a generalized linear model with a possible unknown correlation between outcomes [ 21].
The generalized estimating equation is used to estimate the parameters of a generalized linear model with a possible unknown correlation between outcomes, especially for repeated measurements [ 13, 14].
In statistics, a generalized estimating equation (GEE) is used to estimate the parameters of a generalized linear model with a possible unknown correlation between outcomes for longitudinal data, and regression models are useful to adjust for confounders.
We assume that the y gi are multivariate normal, at least for the probes in our gene set, with a general but unknown correlation structure between the probes.
Simple guidelines for calculating efficient sample sizes in cluster randomized trials with unknown intraclass correlation (ICC) and varying cluster sizes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com