Libri di Marica Manisera - libri Vita e Pensiero

Marica Manisera

Titoli dell'autore

Nonlinear CUB models: the R code digital Nonlinear CUB models: the R code
Anno: 2015
Nonlinear CUB models have been recently introduced in the literature to model ordinal data taking into account the unequal spacing among response categories. Nonlinear CUB models can be effectively used in a variety of fields, typically when human perceptions and attitudes are measured by questionnaires with questions having ordered response categories...
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Interpreting clusters and their bipolar means: a case study
Gratis
digital
Interpreting clusters and their bipolar means: a case study
Anno: 2013
When cluster analysis is performed on ranking or rating data, methods requiring quantitative variables commonly used to characterize the obtained groups, such as the cluster profile plots, are not appropriate. Instead, the bipolar mean, originally introduced in the literature in 2005 to deal with such kind of data, can be useful to interpret the resulting clusters, possibly in association with other available information. An application on real data coming from an extensive survey carried out in 2011 in the Italian McDonald’s restaurants is presented. A selection of ranking data, regarding some features of products and service, was analysed by a hierarchical cluster algorithm. In order to emphasize the concordance between the most important ranks, a weighted rank correlation coefficient was employed to measure the dissimilarity between respondents. Five groups were finally obtained, which show interesting differences on the given rankings.
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Models for categorical data: a comparison between the Rasch model and Nonlinear Principal Component Analysis
Gratis
digital
Models for categorical data: a comparison between the Rasch model and Nonlinear Principal Component Analysis
Anno: 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.
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A Nonlinear Least Squares Solution of a Minimax Estimation Problem for Stationary Time Series digital A Nonlinear Least Squares Solution of a Minimax Estimation Problem for Stationary Time Series
Anno: 2006
The parameter estimation problem for the ARMA models is considered under a minimax approach: when the objective is to minimize the largest deviations in time series, it is useful to define a generalized version of a minimax estimator, minimizing the sum of the r-th powers of the k
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16.05.2023
Psicologia dell'adozione e dell'affido familiare
Mercoledì 7 giugno alle 17:00 presentazione di "Psicologia dell'adozione e dell'affido familiare" in Università Cattolica.
05.04.2023
Acquista sul nostro sito: zero spese di spedizione
Spedizione gratuita dei libri con DHL dove vuoi, promo attiva fino al 21 giugno su tutti i titoli.
24.05.2023
Dibattito sul "Sud" di Borgomeo a Roma
Il 13 giugno a Roma si parla di "Sud. Il capitale che serve" di Borgomeo con Quagliarello, Francesco Profumo, Graziano Delrio, Nicola Rossi e Raffaele Fitto.
31.05.2023
Economia umana: studiosi a confronto a Pisa
Giovedì 8 giugno alle 15:30, la presentazione del volume di Domenico Sorrentino su Giuseppe Toniolo.

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