![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Open AccessData envelopment analysis efficiency in the public sector using provider and customer opinion: An application to the Spanish health system
Measuring the relative efficiency of a finite fixed set of service-producing units (hospitals, state services, libraries, banks,...) is an important purpose of Data Envelopment Analysis (DEA). We illustrate an...
-
Article
Isotonic boosting classification rules
In many real classification problems a monotone relation between some predictors and the classes may be assumed when higher (or lower) values of those predictors are related to higher levels of the response. I...
-
Article
Data envelopment analysis in satisfaction survey research: sample size problem
Data envelopment analysis (DEA) frequently uses stochastic input and/or output data. If these data are estimated from a sample in each decision-making unit, the DEA efficiency will be an estimation of the obta...
-
Protocol
Classification of Samples with Order-Restricted Discriminant Rules
In recent years, mass spectrometry techniques have helped proteomics to become a powerful tool for the early diagnosis of cancer, as they help to discover protein profiles specific to each pathological state. ...
-
Chapter and Conference Paper
Efficient Incorporation of Additional Information to Classification Rules
We propose and discuss improved classification rules when a subset of the predictors is known to be ordered. We compare the performance of the new rules with other standard rules in a restricted normal setting...
-
Article
Bayes Discriminant Rules with Ordered Predictors
We propose and discuss improved Bayes rules to discriminate between two populations using ordered predictors. To address the problem we propose an alternative formulation using a latent space that allows to in...