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Six Statistical Senses
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DOI：10.1146/annurev-statistics-040220-015348.png)
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This article proposes a set of categories, each one representing a particular distillation of important statistical ideas. Each category is labeled a sense because we think of these as essential in helping every statistical mind connect in constructive and insightful ways with statistical theory, methodologies, and computation, toward the ultimate goal of building statistical phronesis. The illustration of each sense with statistical principles and methods provides a sensical tour of the conceptual landscape of statistics, as a leading discipline in the data science ecosystem.
Keyword:
bootstrap
data augmentation
exchangeability
likelihood
propensity score
randomized replication
probabilistic sampling
shrinkage estimation
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8.7
论文数:
211
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2.4K
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