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The aim of this study is to present and validate a simple method based on linear fitting applied to two datasets plotted one versus the other (linear fit method, LFM).
Based on linear fitting, the characteristic Eg of various photoelectrodes can be derived respectively.
Thus, in the present study, a stochastic trend model based on linear fitting is used.
The relationships between DNL and A max, ADNL and A max, and PNL and A max for each group of data are presented based on linear fitting on a logarithmic scale.
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The claims of scale-invariance are typically based on linear fits to the log-log plots of the degree distribution data over narrow intervals of about two decades or less, and with imperfect agreement between the data and the fit.
In order to reduce the effect of the communication latency, a Real-Time Predictor (RTP), based on linear curve fitting is developed and integrated into the distributed RT simulation environment.
The emission probability (i.e., the probability to observe this segment given the underlying state) was calculated based on linear model fitting.
A system identification procedure, based on linear least squares fitting and ARMA modeling, is developed to identify the parameters from data collected in quasi-static foam experiments.
Part III of P is determined as follows: the exponential decay in the measured diastolic pressure waveform is transformed, using a logarithm function, into a linear spline whose coefficients are computed by using the polyfit function in Matlab (The MathWorks, Natick, MA) based on linear least-squares fitting.
Although the mean prediction error is very small in both models (0.03 μg/m and 0.06 μg/m, respectively), Figure 4 shows that predictions from both models are biased low at high concentration levels based on linear regressions between fitted and observed PM2.5 concentrations with intercepts forced through the origin (7% negative bias for the AOD model, and 14% negative bias for the non-AOD model).
Repeatabilities were calculated based on linear mixed-effects models fitted by restricted maximum likelihood for all parameters using the rptR package [31] for R 2.10.0 [27].
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