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by
Zhao, Zifeng, author.
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used methods for generating sophisticated multivariate distribution functions. Parts of the thesis
by
Holman, Bryan Paul, author.
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statistical methods have been developed to correct for these errors, the resulting post processed forecasts
by
Jiao, Feiran, author.
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than quantitative differences. In this thesis, we develop new statistical methods for variable
by
Bowman, Adrian William, author.
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statistical analysis. Some examples of applications of nonparametric density estimation are also given. In
by
Glotzer, Dylan, author.
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Excerpt:
component to be accounted for through statistical methods. Chapter 1 has been adapted from Glotzer and
by
Syring, Nicholas Aaron, author.
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data, so alternative methods are needed, besides Bayes, in order to take advantage of loss functions in
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