AI-GEOSTATS: modelling and goodness of fit
Hi, I'm working on variogram modelling and in the majority of cases only R2 is available to evaluate the best-fit values, but in cases of non-linear functions, it is very criticized. Are there other standard methods to evaluate the goodness of a fit of a non-linear function (for example asymptotic confidence intervals) and how to calculate them, considering that the majority of geostatistical software do not perform any alternative coefficient? Thank you Andrea
Re: AI-GEOSTATS: modelling and goodness of fit
Andrea, have you considered maximum likelihood fitting? -- Edzer Andrea Sciarretta wrote: Hi, I’m working on variogram modelling and in the majority of cases only R2 is available to evaluate the best-fit values, but in cases of non-linear functions, it is very criticized. Are there other standard methods to evaluate the goodness of a fit of a non-linear function (for example asymptotic confidence intervals) and how to calculate them, considering that the majority of geostatistical software do not perform any alternative coefficient? Thank you Andrea + + To post a message to the list, send it to ai-geostats@jrc.it + To unsubscribe, send email to majordomo@ jrc.it with no subject and unsubscribe ai-geostats in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list + As a general service to list users, please remember to post a summary of any useful responses to your questions. + Support to the forum can be found at http://www.ai-geostats.org/
Re: AI-GEOSTATS: modelling and goodness of fit
Andrea We use Cressie's goodness of fit statistic which allows for number of pairs and other factors in semi-veriogram fitting. You can find a paper of his in Methematical Geology around 1992, or in his book. It is also illustrated in our free tutorial material at www.kriging.com Isobel Andrea Sciarretta [EMAIL PROTECTED] wrote: Hi, Im working on variogram modelling and in the majority of cases only R2 is available to evaluate the best-fit values, but in cases of non-linear functions, it is very criticized. Are there other standard methods to evaluate the goodness of a fit of a non-linear function (for example asymptotic confidence intervals) and how to calculate them, considering that the majority of geostatistical software do not perform any alternative coefficient? Thank you Andrea