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Graduation is smoothing process. One of its applications is mortality data smoothing. A common method used is Whittaker graduation. This method is a weighted regression, so that graduation outcome will largely depend on the weight used. If it used negative weight, than mortality level, which is a pr...

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Bibliographic Details
Main Author: BARRY RAHMATULLAH (NIM 20807004), HADI
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/12167
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Graduation is smoothing process. One of its applications is mortality data smoothing. A common method used is Whittaker graduation. This method is a weighted regression, so that graduation outcome will largely depend on the weight used. If it used negative weight, than mortality level, which is a probability, is possible to have a negative value. To anticipate this, other method is used not only weighing one value, in this case mortality level, but it is a weighted average of two values. That graduation is called Bayesian Graduation.