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www.seascapemodels.org | ||
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aosmith.rbind.io
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| | | | | Extending my simulation examples into the world of generalized linear models, I simulate Poisson data to explore what a quadratic relationship looks like on the scale of the data when fitting a generalized linear model with a log link. | |
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www.markhw.com
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| | | | | [AI summary] The blog post discusses modeling variance in data using the gamlss package in R, focusing on the user's film ratings over time. It highlights how the standard deviation of ratings increases with the release year of films, reflecting the user's movie selection habits. The analysis shows that older films have higher average ratings and lower variability, while newer films have lower average ratings and higher variability. The post emphasizes the importance of considering variance in social phenomena and provides practical examples using R for data visualization and statistical modeling. | |
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finnstats.com
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| | | | | Nonlinear Regression Analysis in R. We learned about R logistic regression and its applications, as well as MLE line estimation and NLRM. | |
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statisticaloddsandends.wordpress.com
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| | | In this previous post, we defined Value at Risk (VaR): given a time horizon $latex T$ and a level $latex \alpha$, the VaR of an investment at level $latex \alpha$ over time horizon $latex T$ is a number or percentage X such that Over the time horizon $latex T$, the probability that the loss on... | ||
