Summary Likelihood, likelihood, likelihood (and maybe some other complicated approaches), but definitely not r^2 values from fitting regressions to binned data. A bit more nitty gritty detail In addition to causing issues with parameter estimation, binning based methods are also inappropriate when trying to determine which distribution provides the best fit to empirical data.

Summary Don’t bin you’re data and fit a regression. Don’t use the CDF and fit a regression. Use maximum likelihood or other statistically grounded approaches that can typically be looked up on Wikipedia.

After writing about the importance of good RSS feeds for a particular subset of the academic community it occurred to me that part of the reason that we have such hit and miss implementations of feeds by journals is that most academics don’t even know what a feed is let alone actually use a feed […]

I’d recommend checking out this post by River Continua about an impressively sophisticated phishing scam targeted at academics. They’re going to catch a bunch of folks with this one.

If you don’t have an easily accessible RSS feed available (and by easily accessible I mean in the browser’s address bar on your journal’s main page) for your journal’s Table of Contents (TOCs), there is a certain class of readers who will not keep track of you TOCs.

-F. O. Matthiessen, American Renaissance 1941. Thanks to academhack for pointing me to this great quote. Given the spirit of the quote I don’t think he’ll mind me reposting it. I find this to be a particularly relevant in light of recent discussion about tracking down self-plagarism and how grave an offense it may be. I’m not saying that self, and regular, plagarism aren’t serious issues.

Beyond simple histograms there are two basic methods for visualizing frequency distributions. Kernel density estimation is basically a generalization of the idea behind histograms.

I read a handful of experimental ecology papers the other day. I liked some of them and didn’t like some of them. It wasn’t that there was anything inherently wrong with the ones I didn’t like, they just didn’t fit in with my world view.

Well, I guess that grant season was a bit of an optimistic time to try to do a 4 part series on frequency distributions, but I’ve got a few minutes before heading off to an all day child birth class so I thought I’d see if I could squeeze in part 2. OK, so you […]

We just read this great piece from the Huffington Post by Todd Palmer and Rob Pringle on why including funds for NSF and NIH in the stimulus bill was a good idea (thanks to Ecotone for pointing us to the article). The great thing about the piece is that it doesn’t just make a cogent […]

Dealing with frequency distribution data is something that we as ecologists haven’t typically done in a very sophisticated way. This isn’t really our fault. Proper methods aren’t typically taught in undergraduate statistics courses or in the graduate level classes targeted at biologists.