Weighted least squares fit
[DOC File]Chapter 5
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Rts is determined by a weighted least-squares fit in which the sum of the simulated e spectrum and the experimentally measured background spectrum of Michel events is fit to the experimentally measured spectrum, which contains both e and Michel events. Initially, three parameters were allowed to vary in the fit.
[DOC File]Normal distribution
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a weighted least squares fit. Beware: The template was set up for 11 pairs of data points, but there are only 9 pairs of values in the compound pendulum data! From both the weighted and unweighted fit results calculate the value of . the acceleration due to gravity, g, and its error,
[DOC File]Chapter 10: Building the regression model I|I: Remedial ...
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Weighted least squares estimation is used to find parameter estimates. Weights are assigned corresponding to how outlying an observation is. These weights are updated multiple times during an iterative process. Generalized linear models are often fit using IRLS. Least median squares (LMS) regression. Minimize median{(Yi-)2} to find parameter ...
[DOC File]Alternative Estimation Methods
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Generalized least squares is an alternative fitting function. The GLS fit function also minimizes the discrepancy between S and , but uses a weight matrix for the residuals, designated W. Notice that this is a much simpler function (e.g., no logs), and it is clear that the discrepancy between the obtained covariance matrix and the covariance ...
[DOC File]Reserving with the Extended Link-Ratio Family of Models
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The red line indicates the weighted ((=1) least squares fit through the origin (i.e. chain ladder). The green line represents the fit with an intercept. The second plot gives a clearer indication of a nonzero intercept. There is no indication that the relationship would not be linear.
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