Antonello Maruotti
Antonello Maruotti
Libera UniversitÓ Maria Ss. Assunta
Email verificata su lumsa.it
Titolo
Citata da
Citata da
Anno
The impact of urbanization on CO2 emissions: evidence from developing countries
I MartÝnez-Zarzoso, A Maruotti
Ecological Economics 70 (7), 1344-1353, 2011
6942011
Nurse staffing and patient outcomes: Strengths and limitations of the evidence to inform policy and practice. A review and discussion paper based on evidence reviewed for theá…
P Griffiths, J Ball, J Drennan, C Dall’Ora, J Jones, A Maruotti, C Pope, ...
International journal of nursing studies 63, 213-225, 2016
1732016
The association between nurse staffing and omissions in nursing care: a systematic review
P Griffiths, A Recio‐Saucedo, C Dall'Ora, J Briggs, A Maruotti, P Meredith, ...
Journal of advanced nursing 74 (7), 1474-1487, 2018
1712018
What impact does nursing care left undone have on patient outcomes? Review of the literature
A Recio‐Saucedo, C Dall'Ora, A Maruotti, J Ball, J Briggs, P Meredith, ...
Journal of Clinical Nursing 27 (11-12), 2248-2259, 2018
1502018
University drop-out: an Italian experience
F Belloc, A Maruotti, L Petrella
Higher education 60 (2), 127-138, 2010
1252010
Nurse staffing, nursing assistants and hospital mortality: retrospective longitudinal cohort study
P Griffiths, A Maruotti, AR Saucedo, OC Redfern, JE Ball, J Briggs, ...
BMJ quality & safety 28 (8), 609-617, 2019
1042019
Mixed hidden markov models for longitudinal data: An overview
A Maruotti
International Statistical Review 79 (3), 427-454, 2011
892011
How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study
F Belloc, A Maruotti, L Petrella
Journal of applied Statistics 38 (10), 2225-2239, 2011
662011
A multivariate hidden Markov model for the identification of sea regimes from incomplete skewed and circular time series
J Bulla, F Lagona, A Maruotti, M Picone
Journal of Agricultural, Biological, and Environmental Statistics 17 (4á…, 2012
572012
Two‐part regression models for longitudinal zero‐inflated count data
M Alf˛, A Maruotti
Canadian Journal of Statistics 38 (2), 197-216, 2010
562010
Modeling time series of animal behavior by means of a latent‐state model with feedback
W Zucchini, D Raubenheimer, IL MacDonald
Biometrics 64 (3), 807-815, 2008
562008
Towards an understanding of tinnitus heterogeneity
CR Cederroth, S Gallus, DA Hall, T Kleinjung, B Langguth, A Maruotti, ...
Frontiers in aging neuroscience 11, 53, 2019
542019
Nurse staffing levels, missed vital signs and mortality in hospitals: retrospective longitudinal observational study
P Griffiths, J Ball, K Bloor, D B÷hning, J Briggs, C Dall’Ora, AD Iongh, ...
502018
A mixed non‐homogeneous hidden Markov model for categorical data, with application to alcohol consumption
A Maruotti, R Rocci
Statistics in Medicine 31 (9), 871-886, 2012
502012
Skew mixture models for loss distributions: a Bayesian approach
M Bernardi, A Maruotti, L Petrella
Insurance: Mathematics and Economics 51 (3), 617-623, 2012
462012
A semiparametric approach to hidden Markov models under longitudinal observations
A Maruotti, T RydÚn
Statistics and Computing 19 (4), 381, 2009
442009
Are long nursing shifts on hospital wards associated with sickness absence? A longitudinal retrospective observational study
C Dall’Ora, J Ball, O Redfern, A Recio‐Saucedo, A Maruotti, P Meredith, ...
Journal of Nursing Management 27 (1), 19-26, 2019
412019
Capturing the evolution of customer–firm relationships: How customers become more (or less) valuable over time
T Mark, KN Lemon, M Vandenbosch, J Bulla, A Maruotti
Journal of Retailing 89 (3), 231-245, 2013
372013
Clustering multivariate longitudinal observations: The contaminated Gaussian hidden Markov model
A Punzo, A Maruotti
Journal of Computational and Graphical Statistics 25 (4), 1097-1098, 2016
352016
Bayesian hidden Markov modelling using circular‐linear general projected normal distribution
G Mastrantonio, A Maruotti, G Jona‐Lasinio
Environmetrics 26 (2), 145-158, 2015
352015
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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