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Readers will learn to understand statistical hypothesis testing and how to interpret P-values under a variety of conditions including a single hypothesis test, a collection of hypothesis tests, and tests performed on accumulating data.
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This book presents a selection of peer-reviewed contributions to the fifth Bayesian Young Statisticians Meeting, BaYSM 2021, held virtually due to the COVID-19 pandemic on 1-3 September 2021.
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This book presents recent advances of Bayesian inference in structured tensor decompositions.
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This book introduces some recent developments in Bayesian real-time system identification. A centralized Bayesian... Læs mere
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This book provides a comprehensive introduction to statistical approaches for the assessment of complex environmental exposures, such as pollutants and chemical mixtures, within the exposome framework.
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The 3rd edition of this popular and authoritative text on Bayesian modeling and inference for spatial and spatial-temporal data presents a... Læs mere
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For nearly a century, researchers have gathered data that has been interpreted as supporting the notion of a hierarchical ordering of the senses. This Element tests this proposal in the first-ever meta-analysis of linguistic synesthesias, combining 38 datasets from 14 languages.
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