Goodness of fits: one model, different datasets [General Sta­tis­tics]

posted by ElMaestro  – Denmark, 2017-10-06 23:01  – Posting: # 17871
Views: 13,689

Hi all,

I have some different datasets that are not large at all, and I am doing some model fits on them and from that I am extracting a correlation measure like r squared etc. For the sake of simplicity let us just assume there in a single model like a linear regression without weights.

I would like to compare apples and pears, or at least the fits of three different datasets A, B and C. These datasets do not have the same number of data points, so I cannot fairly compare e.g. r squared of A vs B vs C directly.

Akaike and Schwarz are presumably not the way to go, I think, as I am not varying the model but the dataset, so to say. Kolmogorov-Smirnoff would potentially be useful if I had a boatload of points, which I don't anyway. I am very poor at explaining what I think I am looking for :crying: but I would call it a "fit likelihood" or "correlation statistic that is sample size corrected" :lookaround:. Google and Wikipedia aren't my friends in this regard (although on all other matters, including politics, religion, science and baking recipes G. and W. are always providing the right answers).

Does anyone here know of a handy statistic that allows a fair comparison of goodness of fits across datasets with unequal sizes, given a single model??

Muchas gracias.

if (3) 4

x=c("Foo", "Bar")
b=data.frame(x)
typeof(b[,1]) ##aha, integer?
b[,1]+1 ##then let me add 1


Best regards,
ElMaestro

“(...) targeted cancer therapies will benefit fewer than 2 percent of the cancer patients they’re aimed at. That reality is often lost on consumers, who are being fed a steady diet of winning anecdotes about miracle cures.” New York Times (ed.), June 9, 2018.

Complete thread:

Activity
 Mix view
Bioequivalence and Bioavailability Forum |  Admin contact
19,486 posts in 4,135 threads, 1,334 registered users;
online 11 (0 registered, 11 guests [including 5 identified bots]).
Forum time (Europe/Vienna): 07:17 CEST

If debugging is the process of removing bugs,
then programming must be the process of putting them in.    Edsger W. Dijkstra

The BIOEQUIVALENCE / BIOAVAILABILITY FORUM is hosted by
BEBAC Ing. Helmut Schütz
HTML5