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

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 but I would call it a "fit likelihood" or "correlation statistic that is sample size corrected" . 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

Muchas gracias.

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 but I would call it a "fit likelihood" or "correlation statistic that is sample size corrected" . 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.

—

Le tits now.

Best regards,

ElMaestro

Le tits now.

Best regards,

ElMaestro

### Complete thread:

- Goodness of fits: one model, different datasetsElMaestro 2017-10-06 23:01 [General Statistics]
- Goodness of fits: one model, different datasets nobody 2017-10-07 16:03
- Experimental setup, details ElMaestro 2017-10-07 18:06
- Visualization ElMaestro 2017-10-07 19:07
- multiple regression? Helmut 2017-10-08 17:17
- just y=ax+b ElMaestro 2017-10-08 17:30
- just y=ax+b Helmut 2017-10-08 17:35
- just y=ax+b ElMaestro 2017-10-08 17:50
- just y=ax+b nobody 2017-10-08 20:26
- ANCOVA with R? yjlee168 2017-10-08 21:28
- just y=ax+b DavidManteigas 2017-10-09 10:34
- just y=ax+b nobody 2017-10-09 10:45

- just y=ax+b Helmut 2017-10-10 18:15

- just y=ax+b ElMaestro 2017-10-08 17:50

- just y=ax+b Helmut 2017-10-08 17:35

- just y=ax+b ElMaestro 2017-10-08 17:30

- Experimental setup, details ElMaestro 2017-10-07 18:06

- Goodness of fits: one model, different datasets nobody 2017-10-07 16:03