Skip to main content
Cross Validated

Return to Answer

replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
Source Link
Community Bot
Community Bot
  • 1

Well, assuming all of your modelling assumptions are fulfilled, the modelling techniques do not differ and also assuming $R^2$ is the only model characteristic that differs between the models, I would consider a Student’s t-test (assumptions permitting) or Wilcoxon-Mann-Whitney test on the $R^2$s. In any case I would try to get a larger sample (costs permitting).

You can read more about different model selection measures, particularly AIC, herehere.

If different modelling techniques were used you may find thisthis interesting.

Well, assuming all of your modelling assumptions are fulfilled, the modelling techniques do not differ and also assuming $R^2$ is the only model characteristic that differs between the models, I would consider a Student’s t-test (assumptions permitting) or Wilcoxon-Mann-Whitney test on the $R^2$s. In any case I would try to get a larger sample (costs permitting).

You can read more about different model selection measures, particularly AIC, here.

If different modelling techniques were used you may find this interesting.

Well, assuming all of your modelling assumptions are fulfilled, the modelling techniques do not differ and also assuming $R^2$ is the only model characteristic that differs between the models, I would consider a Student’s t-test (assumptions permitting) or Wilcoxon-Mann-Whitney test on the $R^2$s. In any case I would try to get a larger sample (costs permitting).

You can read more about different model selection measures, particularly AIC, here.

If different modelling techniques were used you may find this interesting.

added 4 characters in body
Source Link
Sycorax ♦
Sycorax ♦
  • 94.1k
  • 23
  • 236
  • 390

Well, assuming all of your modelling assumptions are fulfilled, the modelling techniques do not differ and also assuming R^2$R^2$ is the only model characteristic that differs between the models, I would consider a Student’s t-test (assumptions permitting) or Wilcoxon-Mann-Whitney test on the R^2s$R^2$s. In any case I would try to get a larger sample (costs permitting).

You can read more about different model selection measures, particularly AIC, here.

If different modelling techniques were used you may find this interesting.

Well, assuming all of your modelling assumptions are fulfilled, the modelling techniques do not differ and also assuming R^2 is the only model characteristic that differs between the models, I would consider a Student’s t-test (assumptions permitting) or Wilcoxon-Mann-Whitney test on the R^2s. In any case I would try to get a larger sample (costs permitting).

You can read more about different model selection measures, particularly AIC, here.

If different modelling techniques were used you may find this interesting.

Well, assuming all of your modelling assumptions are fulfilled, the modelling techniques do not differ and also assuming $R^2$ is the only model characteristic that differs between the models, I would consider a Student’s t-test (assumptions permitting) or Wilcoxon-Mann-Whitney test on the $R^2$s. In any case I would try to get a larger sample (costs permitting).

You can read more about different model selection measures, particularly AIC, here.

If different modelling techniques were used you may find this interesting.

Source Link
RndmSymbl
RndmSymbl
  • 205
  • 1
  • 8

Well, assuming all of your modelling assumptions are fulfilled, the modelling techniques do not differ and also assuming R^2 is the only model characteristic that differs between the models, I would consider a Student’s t-test (assumptions permitting) or Wilcoxon-Mann-Whitney test on the R^2s. In any case I would try to get a larger sample (costs permitting).

You can read more about different model selection measures, particularly AIC, here.

If different modelling techniques were used you may find this interesting.