% Encoding: UTF-8
% libro di testo
@book{piccolo2010statistica,
  title={Statistica per le decisioni},
  author={Piccolo, Domenico and others},
  year={2010},
  publisher={Il mulino}
}
% il rejoinder
@article{piccolo2019class,
  title={The class of {CUB} models: statistical foundations, inferential issues and empirical evidence (with discussion and rejoinder)},
  author={Piccolo, Domenico and Simone, Rosaria},
  journal={Statistical Methods \& Applications},
  volume={28},
  pages={389--493},
  year={2019},
  publisher={Springer}
}
% primo in ordine cronologico
@article{piccolo2003moments,
  title={On the moments of a mixture of uniform and shifted binomial random variables},
  author={Piccolo, Domenico},
  journal={Quaderni di Statistica},
  volume={5},
  number={1},
  pages={85--104},
  year={2003}
}
% modello CUB base
@article{d2005mixture,
  title={A mixture model for preferences data analysis},
  author={D'Elia, Angela and Piccolo, Domenico},
  journal={Computational Statistics \& Data Analysis},
  volume={49},
  number={3},
  pages={917--934},
  year={2005},
  publisher={Elsevier}
}
@article{iannario2012preliminary,
  title={Preliminary estimators for a mixture model of ordinal data},
  author={Iannario, Maria},
  journal={Advances in Data Analysis and Classification},
  volume={6},
  pages={163--184},
  year={2012},
  publisher={Springer}
}
@article{piccolo2006observed,
  title={Observed information matrix for {MUB} models},
  author={Piccolo, Domenico},
  journal={Quaderni di Statistica},
  volume={8},
  number={1},
  pages={33--78},
  year={2006}
}
#CUB con covariate
@article{iannario2010new,
  title={A new statistical model for the analysis of customer satisfaction},
  author={Iannario, Maria and Piccolo, Domenico},
  journal={Quality Technology \& Quantitative Management},
  volume={7},
  number={2},
  pages={149--168},
  year={2010},
  publisher={Taylor \& Francis}
}
% modello CUBSH
@article{iannario2012modelling,
  title={Modelling shelter choices in a class of mixture models for ordinal responses},
  author={Iannario, Maria},
  journal={Statistical Methods \& Applications},
  volume={21},
  pages={1--22},
  year={2012},
  publisher={Springer}
}
@incollection{corduas2009class,
  title={A class of statistical models for evaluating services and performances},
  author={Corduas, Marcella and Iannario, Maria and Piccolo, Domenico},
  booktitle={Statistical methods for the evaluation of educational services and quality of products},
  pages={99--117},
  year={2009},
  publisher={Springer}
}
% modello CUSH
@article{capecchi2017dealing,
  title={Dealing with heterogeneity in ordinal responses},
  author={Capecchi, Stefania and Piccolo, Domenico},
  journal={Quality \& Quantity},
  volume={51},
  pages={2375--2393},
  year={2017},
  publisher={Springer}
}
% modello CUSH2 (alternative con Beta discretizzata)
@article{simone2022finite,
  title={On finite mixtures of {Discretized} {Beta} model for ordered responses},
  author={Simone, Rosaria},
  journal={TEST},
  volume={31},
  number={3},
  pages={828--855},
  year={2022},
  publisher={Springer}
}
@article{simone2018modelling,
  title={Modelling uncertainty and response styles in ordinal data},
  author={Simone, Rosaria and Tutz, Gerhard},
  journal={Statistica Neerlandica},
  volume={72},
  number={3},
  pages={224--245},
  year={2018},
  publisher={Wiley Online Library}
}
% modello CUBE
@article{iannario2015detecting,
  title={Detecting latent components in ordinal data with overdispersion by means of a mixture distribution},
  author={Iannario, Maria},
  journal={Quality \& Quantity},
  volume={49},
  pages={977--987},
  year={2015},
  publisher={Springer}
}
@article{piccolo2015inferential,
  title={Inferential issues on CUBE models with covariates},
  author={Piccolo, Domenico},
  journal={Communications in Statistics-Theory and Methods},
  volume={44},
  number={23},
  pages={5023--5036},
  year={2015},
  publisher={Taylor \& Francis}
}
@article{iannario2012cube,
  title={CUBE models for interpreting ordered categorical data with overdispersion},
  author={Iannario, Maria},
  journal={Quaderni di statistica},
  volume={14},
  pages={137--140},
  year={2012}
}
@article{iannario2014modelling,
  title={Modelling uncertainty and overdispersion in ordinal data},
  author={Iannario, Maria},
  journal={Communications in Statistics-Theory and Methods},
  volume={43},
  number={4},
  pages={771--786},
  year={2014},
  publisher={Taylor \& Francis}
}
% modello IHG
@article{d2003modelling,
  title={Modelling ranks using the inverse hypergeometric distribution},
  author={D’Elia, Angela},
  journal={Statistical modelling},
  volume={3},
  number={1},
  pages={65--78},
  year={2003},
  publisher={Sage Publications Sage CA: Thousand Oaks, CA}
}
@incollection{d2005moment,
  title={The moment estimator for the {IHG} distribution},
  author={D'Elia, A and Piccolo, Domenico and others},
  booktitle={S. Co. Modelli complessi e metodi computazionali intensivi per la stima e la previsione},
  pages={245--250},
  year={2005},
  publisher={CLEUP}
}
% la scala Likert
@article{likert1932technique,
  title={A technique for the measurement of attitudes.},
  author={Likert, Rensis},
  journal={Archives of psychology},
  year={1932}
}
% CUB in R
@article{iannario2009program,
  title={A program in {R} for {CUB} models inference},
  author={Iannario, Maria and Piccolo, Domenico},
  journal={Available via Internet, URL http://www. dipstat. unina. it/CUBmodels/, Version},
  volume={2},
  year={2009}
}
@article{iannario2014inference,
  title={Inference for {CUB} models: a program in {R}},
  author={Iannario, Maria and Piccolo, Domenico and others},
  journal={Statistica \& Applicazioni},
  volume={12},
  number={2},
  pages={177--204},
  year={2014}
}
@article{iannario2022package,
  title={Package ‘{CUB}’},
  author={Iannario, Maria and Piccolo, Domenico and Simone (Maintainer), Rosaria},
  year={2022},
  journal={CRAN},
}
#R
@Manual{rmanual,
    title={{R}: A Language and Environment for Statistical Computing},
    author={{R Core Team}},
    organization={R Foundation for Statistical Computing},
    address={Vienna, Austria},
    year={2021},
    url={https://www.R-project.org/},
}
#Python
@article{van2014python,
  title={The python language reference},
  author={Van Rossum, Guido and Drake Jr, Fred L},
  journal={Python Software Foundation: Wilmington, DE, USA},
  year={2014}
}
@article{virtanen2020scipy,
  title={{SciPy} 1.0: fundamental algorithms for scientific computing in Python},
  author={Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E and Haberland, Matt and Reddy, Tyler and Cournapeau, David and Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and Bright, Jonathan and others},
  journal={Nature methods},
  volume={17},
  number={3},
  pages={261--272},
  year={2020},
  publisher={Nature Publishing Group}
}
@Article{         harris2020array,
 title         = {Array programming with {NumPy}},
 author        = {Charles R. Harris and K. Jarrod Millman and St{\'{e}}fan J.
                 van der Walt and Ralf Gommers and Pauli Virtanen and David
                 Cournapeau and Eric Wieser and Julian Taylor and Sebastian
                 Berg and Nathaniel J. Smith and Robert Kern and Matti Picus
                 and Stephan Hoyer and Marten H. van Kerkwijk and Matthew
                 Brett and Allan Haldane and Jaime Fern{\'{a}}ndez del
                 R{\'{i}}o and Mark Wiebe and Pearu Peterson and Pierre
                 G{\'{e}}rard-Marchant and Kevin Sheppard and Tyler Reddy and
                 Warren Weckesser and Hameer Abbasi and Christoph Gohlke and
                 Travis E. Oliphant},
 year          = {2020},
 month         = sep,
 journal       = {Nature},
 volume        = {585},
 number        = {7825},
 pages         = {357--362},
 doi           = {10.1038/s41586-020-2649-2},
 publisher     = {Springer Science and Business Media {LLC}},
 url           = {https://doi.org/10.1038/s41586-020-2649-2}
}
% Python and R
@article{pittard2020essential,
  title={The essential toolbox of data science: Python, {R}, Git, and Docker},
  author={Pittard, W Stephen and Li, Shuzhao},
  journal={Computational Methods and Data Analysis for Metabolomics},
  pages={265--311},
  year={2020},
  publisher={Springer}
}
#CUB in Stata
@inproceedings{cerulli2021stata,
  title={The {Stata} module for {CUB} models for rating data analysis},
  author={Cerulli, Giovanni and Simone, R and Di Iorio, Francesca and Piccolo, D and Baum, CF and others},
  booktitle={London Stata Conference 2021},
  number={16},
  year={2021},
  organization={Stata Users Group}
}
#CUB in gretl
@article{simone2019cub,
  title={{CUB} for gretl},
  author={Simone, Rosaria and Di Iorio, Francesca and Lucchetti, Riccardo},
  journal={GNU Regression, Econometrics and Time Series Library},
  pages={147},
  year={2019}
}
#L-BFGS-B
@article{zhu1997algorithm,
  title={Algorithm 778: {L-BFGS-B}: Fortran subroutines for large-scale bound-constrained optimization},
  author={Zhu, Ciyou and Byrd, Richard H and Lu, Peihuang and Nocedal, Jorge},
  journal={ACM Transactions on mathematical software (TOMS)},
  volume={23},
  number={4},
  pages={550--560},
  year={1997},
  publisher={ACM New York, NY, USA}
}
#analisi
@book{fusco1996analisi,
  title={Analisi matematica due},
  author={Fusco, Nicola and Marcellini, Paolo and Sbordone, Carlo},
  year={1996},
  publisher={Liguori}
}
#numero campioni
@article{lucas2013too,
  title={Too big to fail: large samples and the p-value problem},
  author={Lucas, H and Shmueli, G and others},
  journal={Inf. Syst. Res.},
  volume={24},
  number={4},
  pages={906--917},
  year={2013}
}
#assunzione normalità
@online{normalitytest,
    title        = {Testing normality including skewness and kurtosis},
    author       = {{University of Cambridge}},
    year         = 2018,
    url          = {https://imaging.mrc-cbu.cam.ac.uk/statswiki/FAQ/Simon},
    urldate      = {2023-12-14}
}
#libro discrete
@book{johnson2005univariate,
  title={Univariate discrete distributions},
  author={Johnson, Norman L and Kemp, Adrienne W and Kotz, Samuel},
  volume={444},
  year={2005},
  publisher={John Wiley \& Sons}
}
% libro continue
@book{johnson1995continuous,
  title={Continuous univariate distributions},
  author={Johnson, Norman L and Kotz, Samuel and Balakrishnan, Narayanaswamy},
  volume={289},
  year={1995},
  publisher={John wiley \& sons}
}
#statsmodels
@inproceedings{seabold2010statsmodels,
  title={Statsmodels: Econometric and statistical modeling with python},
  author={Seabold, Skipper and Perktold, Josef},
  booktitle={Proceedings of the 9th Python in Science Conference},
  volume={57},
  number={61},
  pages={10--25080},
  year={2010},
  organization={Austin, TX}
}
#ellissi confidenza
@online{ellissimatplotlib,
    title        = {Plot a confidence ellipse of a two-dimensional dataset},
    author       = {{Matplotlib}},
    year         = 2023,
    url          = {https://matplotlib.org/stable/gallery/statistics/confidence_ellipse.html},
    urldate      = {2023-12-19}
}
@online{ellissischelp,
    title        = {An Alternative Way to Plot the Covariance Ellipse},
    author       = {Schelp, Carsten},
    year         = 2018,
    url          = {https://carstenschelp.github.io/2018/09/14/Plot_Confidence_Ellipse_001.html},
    urldate      = {2023-12-19}
}
% Python VS R
@online{kundariya_python_r,
    title        = {{R} vs Python: Our Developers Recommendation On Choosing The Best One},
    author       = {Kundariya, Harikrishna},
    year         = 2023,
    url          = {https://www.esparkinfo.com/blog/r-vs-python.html},
    urldate      = {2023-03-25}
}
% Depressione
@article{mirowsky2013depression,
  title={Depression and the sense of control: Aging vectors, trajectories, and trends},
  author={Mirowsky, John},
  journal={Journal of Health and Social Behavior},
  volume={54},
  number={4},
  pages={407--425},
  year={2013},
  publisher={Sage Publications Sage CA: Los Angeles, CA}
}

######################################################
# TESI
@article{mythesis,
  title        = {Modelli della classe {CUB} in Python},
  author       = {Pierini, Massimo},
  year         = 2024,
  month        = {June},
  address      = {Rome, IT},
  school       = {Universitas Mercatorum},
  institution  = {Universitas Mercatorum},
  publisher    = {Universitas Mercatorum},
  journal      = {Universitas Mercatorum, Rome, IT},
  note         = {(Bachelor's thesis L-41)},
  type         = {Bachelor's thesis},
  pages        = {1--172}
}