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invalidates commonly used homoskedasticity conditions. In the presence of unobserved heteroskedasticity, standard methods based on … approach which relies on a simple ordinary least squares procedure as its starting point. Heteroskedasticity is accommodated by …
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In order to discuss nonlinear, it is necessary to know linear regressive as a priori. Without simple regression as the starting point, it would be difficult to understand nonlinear regression. In words, in order to understand the curve and the behavior of a curve, it is necessary to known a...
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