Complex data modeling and computationally intensive statistical methods / Pietro Mantovan, Piercesare Secchi (editors).

Other author Mantovan, Pietro.
Other author Secchi, Piercesare.
Format Electronic
Publication InfoMilan ; New York : Springer-Verlag Italia,
Descriptionx, 164 p. : ill. ; 25 cm.
Supplemental ContentFull text available from Springer Books
Supplemental ContentFull text available from Springer Nature - Springer Mathematics and Statistics eBooks 2010 English International
Subjects

SeriesContributions to statistics
Contributions to statistics. ^A373585
Contents Space-time texture analysis in thermal infrared imaging for classification of Raynaud's phenomenon / Graziano Aretusi, Lara Fontanella, Luigi Ippoliti and Arcangelo Merla -- Mixed-effects modelling of Kevlar fibre failure times through Bayesian non-parametrics / Raffaele Argiento, Alessandra Guglielmi and Antonio Pievatolo -- Space filling and locally optimal designs for Gaussian Universal Kriging / Exploitation, integration and statistical analysis of the Public Health Database and STEMI Archive in the Lombardia region / Pietro Barbieri, Niccolò Grieco, Francesca Ieva, Anna Maria Paganoni and Piercesare Secchi -- Bootstrap algorithms for variance estimation in [pi]PS sampling / Alessandro Barbiero and Fulvia Mecatti -- Fast Bayesian functional data analysis of basal body temperature / James M. Ciera -- A parametric Markov chain to model age- and state-dependent wear processes / Massimiliano Giorgio, Maurizio Guida and Gianpaolo Pulcini -- Case studies in Bayesian computation using INLA / Sara Martino and Håvard Rue -- M. Sofia Massa, Monica Chiogna and Chiara Romualdi -- Predictive densities and prediction limits based on predictive likelihoods / Paulo Vidoni -- Computer-intensive conditional inference / G. Alastair Young and Thomas J. DiCiccio -- Monte Carlo simulation methods for reliability estimation and failure prognostics / Enrico Zio.
Bibliography noteIncludes bibliographical references.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2010928480
ISBN9788847013858 (alk. paper)
ISBN8847013852 (alk. paper)
ISBN9788847013865 (e-ISBN)

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