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Sequential procedures are proposed to estimate the regression parameters in a linear regression model with dependent residuals.
These functions and activities are a network's clusters and elements in an analytic network process (ANP) model with dependent relations.
The analysis shows that the disaggregation process reproduces adequately the most important statistical characteristics of rainfall at wide range of time scales, while the introduction of the model with dependent intensity-duration results in a better performance in terms of skewness, rainfall extremes and dry proportions.
Cheridito [11] had proved that, for (Hin(frac{3}{4},1)), the mixed model with dependent Brownian motion ((BM)) and (FBM) was equivalent to one with BM.
A non-standard renewal risk model with dependent components X and θ, which was firstly proposed by Albrecher and Teugels [2] and further studied by Boudreault et al. [3], Cossette et al. [4], Badescu et al. [5], and among many others.
Then, we run a weighted linear regression model with dependent variable (u) estimated in (1) and the specified covariates.
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In the present work, we propose a set of variance-based sensitivity indices to perform sensitivity analysis of models with dependent inputs.
For models with dependent variable y, the following variables are constants or have missing correlations: x6, x9.
Conditions (A1)–(and A6d (are are imposed in the M-estimation considering the theory of linear regression models with dependent errors (Wu [49]; Zhou and Shao [52]).
For this reason, ordinal multivariate regression models, with dependent time measurements in 10 min groupings, were calculated to measure the association between distance-decay and study group.
Testosterone, estradiol, and progesterone were entered as independent variables into multiple regression models with dependent variables global-to-local interference and local-to-global interference.
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