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As fixed-effects logit models did not suit the data due to a big proportion of the sample having no within-individual variation leading to many observations being dropped, we estimate linear probability fixed-effects models instead, using the estimation equation: {H}_{i t}=alpha + t{2012}_{i t}{beta}_1+ t{2009}_{i t}{beta}_2+{X}_{i t}{beta}_3+{M}_{i t}{beta}_4+{v}_i+{e}_{i t} (1).
To estimate linear climate-change trends the Climate Wizard uses restricted maximum likelihood (REML) estimation assuming an AR1 time-series pattern in the residuals.
The methods are efficient to estimate linear, elastic-nonlinear, and elastic-plastic buckling loads under vertical loads like self-weight.
A fuzzy logic control (FLC) is proposed as adaptive scheme to estimate linear speed using speed tuning signal.
In order to estimate linear trend, amplitudes, periods and phases of geocenter variation a method of linear regression was applied.
In this paper, we propose a new FIR filter to estimate linear state-space models with both process and measurement noises through state augmentation.
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Note, at a few sites with short records the estimated linear trend was unrealistic.
Based on the previously estimated linear submodels, both input and output of the piezoactuator are estimated.
We estimated linear models for a measure of the severity of the workplace accident.
The estimated linear trend of 5.4 ng m−3 month−1 corresponded to 16.3% per annum increase in the PM10 associated nicotine.
This was then compared to the estimated linear contributions of polymers that have the same constituent groups.
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