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Moreover, most robust regression procedures are minimization problems [15 26].
Two different types of robust regression procedures are utilized.
Data were analyzed using multiple linear regression procedures.
We also ran the same quadratic regression procedures on MBR and Stock Return.
We avoid special neural net architectures and use standard regression procedures to determine local error bars.
Factor analysis, ANOVA, and multiple regression procedures were used to test the hypotheses.
Reverse regression procedures are commonly used as a means of coping with this bias.
Logistic regression procedures were used to calculate odds ratios (OR) and 95% confidence intervals (95% CI).
Furthermore, the competitive effect of a neighbour species on a target species was quantified through linear regression procedures.
Following uni- and bivariate analyses and assessment for colinearity, a variety of parametric and nonparametric regression procedures will be conducted.
Full stepwise regression procedures assessed the response to independent variables of landscape-habitat to five bird guilds.
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