General and multiplicative non-parametric corporate performance models with interval ratio data

New DEA/Location Models with Interval Data

Recently the concept of facility efficiency, which defined by data envelopment analysis (DEA), introduced as a location modeling objective, that provides facilities location’s effect on their performance in serving demands. By combining the DEA models with the location problem, two types of “efficiencies” are optimized: spatial efficiency which measured by finding the least cost location and al...

Data Envelopment Analysis Models In The Presence Of Ratio Data and Non-Discretionary Factors

Predictive Interval Models for Non-parametric Regression

Having a regression model, we are interested in finding two-sided intervals that are guaranteed to contain at least a desired proportion of the conditional distribution of the response variable given a specific combination of predictors. We name such intervals predictive intervals. This work presents a new method to find two-sided predictive intervals for non-parametric least squares regression...

Target setting in additive models with preferences and interval data

Estimating parametric fertility models with open birth interval data.

This paper demonstrates the approach of extending "date of last birth" (DLB) techniques to parametric models. Estimators for Coale-Trussell M and m parameters are constructed from open interval lengths. A new procedure was applied to Brazilian census data, producing maps and spatial statistics for "births last year" (BLY) and DLB m estimates in 723 municipalities in Minas Gerais. DLB estimat...