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www.ericekholm.com
| | jmablog.com
4.0 parsecs away

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| | freerangestats.info
5.3 parsecs away

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| | Some more comprehensive simulations of what happens to 'fragile' p values (those between 0.01 and 0.05), when the actual power differs from the minimum detectable difference that an 80% power calculation was depended upon to set the sample size.
| | www.cedricscherer.com
5.1 parsecs away

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| | A step-by-step tutorial explaining how my visualizations have evolved from a typical basic ggplot. Here, I transform a basic boxplot into a compelling and self-explanatory combination of a jittered dot strip plot and a lollipop plot.
| | brenocon.com
36.1 parsecs away

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| [AI summary] The provided text is a collection of comments and discussions from a blog post that originally criticized artificial neural networks (ANNs) in 2008. The comments reflect a range of opinions and debates about the relationship between machine learning (ML) and statistics, with some users defending ML techniques like support vector machines (SVMs), probabilistic graphical models, and deep learning, while others argue for the importance of statistical methods. There are also discussions about the need for better communication between disciplines, the limitations of ML approaches, and the importance of understanding the underlying assumptions of models. The text includes recommendations for textbooks and courses, such as 'All of Statistics' and Andre...