1887

Abstract

Combining conditional probabilities based on logratios is considered and compared with other integration models. Each data set is at first treated separately and merged with considering data source redundancies. Permanence of ratios and tau-model are presented as a way of merging conditional probabilities and their results are compared to those of logratio model. In logratios model, redundancy factors are iteratively optimized in order to improve the integrated estimate. Measure of goodness is used to quantitatively evaluate the models of integration and logratio model gives the best experimental results in terms of local uncertainty and closeness to true facies.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201403100
2007-09-10
2020-03-30
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201403100
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error