Eugenio Brentari
Author's titles
Models for categorical data: a comparison between the Rasch model and Nonlinear Principal Component Analysis
Free
digital
Year:
2007
The paper compares two models to construct measures from the responses on a set of categorical
variables, the Rasch Model and the Nonlinear (Categorical) Principal Component Analysis, and
can be considered as a part of the literature about the choice between stochastic and algorithmic
models. The aim is to discuss the Rasch Model and Nonlinear PCA differences and similarities, emphasizing
the information that can be drawn from the data, and to compare the resulting measures.
Ricerca di soglie critiche per un test su matrici di confusione
digital
Year:
2004
This paper will discuss misclassification errors induced by human judgement. Facing different classifications coming from different trials, often researchers have to evaluate the goodness of classification proposed.
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Online First Articles
A Data-Driven Approach to Multivariate Monte Carlo Simulation
Application of Nonparametric Stability Methods in Chickpea (Cicer Arietinum L.) Crop Under Diverse Environments
Application of Nonparametric Stability Methods in Chickpea (Cicer Arietinum L.) Crop Under Diverse Environments
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