Distributed Solar: The Democratizaton of Energy
Blogroll
- Charlie Kufs' "Stats With Cats" blog
- The Keeling Curve: its history
- James' Empty Blog
- Peter Congdon's Bayesian statistical modeling
- Subsidies for wind and solar versus subsidies for fossil fuels
- "Perpetual Ocean" from NASA GSFC
- Logistic curves in market disruption
- Healthy Home Healthy Planet
- Beautiful Weeds of New York City
- Earth Family Beta
climate change
- History of discovering Global Warming
- Model state level energy policy for New Englad
- All Models Are Wrong
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Interview with Wally Broecker
- Climate Change: A health emergency … New England Journal of Medicine
- Mathematics and Climate Research Network
- Spectra Energy exposed
- SOLAR PRODUCTION at Westwood Statistical Studios
- Climate Communication
Archives
Jan Galkowski
Tag Archives: dichotomising continuous variables
A quick note on modeling operational risk from count data
The blog statcompute recently featured a proposal encouraging the use of ordinal models for difficult risk regressions involving count data. This is actually a second installment of a two-part post on this problem, the first dealing with flexibility in count … Continue reading
Posted in American Statistical Association, Bayesian, Bayesian computational methods, count data regression, dichotomising continuous variables, dynamic generalized linear models, Frank Harrell, Frequentist, Generalize Additive Models, generalized linear mixed models, generalized linear models, GLMMs, GLMs, John Kruschke, maximum likelihood, model comparison, Monte Carlo Statistical Methods, multivariate statistics, nonlinear, numerical software, numerics, premature categorization, probit regression, statistical regression, statistics
Tagged dichotomising continuous variables, dichotomizing continuous variables, premature categorization, splines
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