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Journal of Classification, 2019
The prediction of the values of ordinal response variables using covariate data is a relatively infrequent task in many application areas. Accordingly, ordinal response variables have gained comparably little attention in the literature on statistical prediction modeling.
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The prediction of the values of ordinal response variables using covariate data is a relatively infrequent task in many application areas. Accordingly, ordinal response variables have gained comparably little attention in the literature on statistical prediction modeling.
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Journal of Insurance Medicine, 2017
For the task of analyzing survival data to derive risk factors associated with mortality, physicians, researchers, and biostatisticians have typically relied on certain types of regression techniques, most notably the Cox model. With the advent of more widely distributed computing power, methods which require more complex mathematics have become ...
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For the task of analyzing survival data to derive risk factors associated with mortality, physicians, researchers, and biostatisticians have typically relied on certain types of regression techniques, most notably the Cox model. With the advent of more widely distributed computing power, methods which require more complex mathematics have become ...
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Computational Statistics, 2013
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Chen, Yu-Chuan +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Yu-Chuan +3 more
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Forests and Forest Environments
2005North-western Europe has on various counts a very heterogeneous character. Crystalline and metamorphic bedrocks of various ages and Tertiary and Quaternary deposits define its geology and geomorphological features. The area belongs to several climatic zones and parts of it went through quite different processes during their Quaternary development.
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