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LOWESS fits simple models to localized subsets of the data to build up a function that describes the deterministic part of the variation in the data, point by point.
LOESS [ 35] (Local Regression) fits simple models to subsets of the data; thus it does not require to specify a global function of any form to fit a model to the data, only to fit segments of the data, where segments are defined by measured intensity.
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The results of a propensity score are obtained as the probability scores of individuals from the fitted simple logistic regression model.
Hierarchical statistical methods should give better results than the common practice of fitting simple regressions to data gathered from different stands.
Secondly, empirical methods can over- or under-estimate gravity amplitudes resulting from land-water distribution, because empirical methods only fit simple regression curves to observed gravity data (e.g., Bower and Courtier, 1998; Harnisch and Harnisch, 2006).
Here we develop an objective way to fit simple stochastic fire spread models based on readily available data from documented fire events (i.e. approximate ignition point, preexisting vegetation, final perimeter, topography, and average wind direction).
These interactions fit simple hyperbolic binding models with membrane affinity increasing with acyl chain length.
Repeated measure analysis of variance and t tests were used to establish significant differences between trials (by fitting simple linear contrast) and treatments using SPSS v17.
This may require acceptance that ecological systems are cryptic and complex and not easily synthesized to fit simple overarching models [10], [34].
The χ2 goodness-of-test revealed that there was no significant (P > 0.1) departure of observed frequencies from the fitted simple harmonic curve.
The χ2 goodness-of-test revealed that there was no significant (P > 0.01) departure of adjusted observed frequencies from the fitted simple harmonic curve (Table 2; Figure 2).
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