Cristina Davino's Books

Quantile Regression

Theory and Applications

By: Cristina Davino,Marilena Furno,Domenico Vistocco

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Quantile Regression

Theory and Applications

By: Cristina Davino,Marilena Furno,Domenico Vistocco

A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods. The main focus of this book is to provide the reader with a comprehensive description of the main issues concerning quantile regression; these include basic modeling, geometrical interpretation, estimation and inference for quantile regression, as well as issues on validity of the model, diagnostic tools. Each methodological aspect is explored and followed by applications using real data. Quantile Regression: Presents a complete treatment of quantile regression methods, including, estimation, inference issues and application of methods. Delivers a balance between methodolgy and application Offers an overview of the recent developments in the quantile regression framework and why to use quantile regression in a variety of areas such as economics, finance and computing. Features a supporting website (www.wiley.com/go/quantile_regression) hosting datasets along with R, Stata and SAS software code. Researchers and PhD students in the field of statistics, economics, econometrics, social and environmental science and chemistry will benefit from this book.

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Page Count

288

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118752716

ISBN 13

9781118752715

Survey Data Collection and Integration

By: Cristina Davino

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Survey Data Collection and Integration

By: Cristina Davino

Statistical surveys represent an important source of scientific knowledge and a valid decision support tool in many fields, from social studies to economics, market research, health studies, and others. Scientists have tackled most of the methodological issues concerning surveys and the scientific literature offers excellent proposals for planning and conducting surveys. Nevertheless, surveys often require the achievement of aims that either deviate from the methodology or do not have a specific solution at all. This book focuses on survey theory and applications, providing insight and innovative solutions to face problems in data collection and integration, complex sample design, opinion questionnaire design, and statistical estimation. Formal rigour and simple language, together with real-life examples, will make the book suitable to both practitioners involved in applied research and to academics interested in scientific developments in the survey field.

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Page Count

158

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3642213073

ISBN 13

9783642213076

Survey Data Collection and Integration

By: Cristina Davino

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Survey Data Collection and Integration

By: Cristina Davino

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158

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Springer Science & Business Media

Published Date

ISBN 10

3642213073

ISBN 13

9783642213076

Stat.Edu’21 - New Perspectives in Statistics Education. Proceedings of the International Conference Stat.Edu’21

By: Cristina Davino,Rosa Fabbricatore,Anna Parola

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Stat.Edu’21 - New Perspectives in Statistics Education. Proceedings of the International Conference Stat.Edu’21

By: Cristina Davino,Rosa Fabbricatore,Anna Parola

[Italiano]:Il volume raccoglie i contributi presentati alla conferenza “Stat.Edu’21 -New Perspectives in Statistics Education”. La Conferenza è stata ospitata dal Dipartimento di Scienze Politiche dell’Università degli Studi di Napoli Federico II (25-26 marzo 2021). La conferenza è stata organizzata come evento finale del progetto ERASMUS+ “ALEAS - Adaptive LEArning in Statistics” (https://aleas-project.eu) che si è svolto dal 2018 al 2021. Il progetto ha avuto l’obiettivo di sviluppare e implementare un sistema di apprendimento adattivo che offra percorsi di apprendimento personalizzati agli studenti, con lo scopo ultimo di aiutare gli studenti a fronteggiare l’ansia statistica. Stat.Edu’21 ha stimolato riflessioni, discussioni e contributi sul tema di ALEAS e sullo sviluppo di sistemi di apprendimento adattivo in ambito universitario come strumenti complementari ai corsi tradizionali e contribuito lo scambio di buone pratiche. Il volume comprende 12 contributi che propongono riflessioni e studi quantitativi in particolare su 3 temi: la valutazione degli effetti dell’ansia o più generalmente lo studio di diverse attitudini nello studio della statistica, strumenti e metodi per la valutazione dei percorsi di insegnamento e le esperienze di apprendimento basate sulla tecnologia. /[English]: The volume collects the papers presented at the Conference “Stat.Edu’21 -New Perspectives in Statistics Education”. The Conference was held at the Department of Political Sciences of the University of Naples Federico II (25-26 March 2021). The conference was the final event of the “ALEAS - Adaptive LEArning in Statistics”, an ERASMUS+ project (https://aleas-project.eu) developed in the period 2018-2021 to design and implement an Adaptive LEArning system able to offer personalised learning paths to students, with the purpose to provide them remedial advice to deal with the “statistics anxiety”. Stat.Edu’21 aimed at stimulating discussions, solicitations and contributions around the central theme of ALEAS, the development of adaptive learning systems in the field of Higher Education as a complementary tool for traditional courses and promote a community of practice in this field. The volume collects 12 papers reporting reflections and quantitative studies covering mainly three topics: the assessment of the effects of anxiety or more generally of a different attitude in the study of Statistics, tools and methods for the assessment of training paths and technology-based learning experiences.

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FedOA - Federico II University Press

Published Date

ISBN 10

8868871246

ISBN 13

9788868871246

Quantile Regression

Theory and Applications

By: Cristina Davino,Marilena Furno,Domenico Vistocco

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Quantile Regression

Theory and Applications

By: Cristina Davino,Marilena Furno,Domenico Vistocco

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288

Publisher

John Wiley & Sons

Published Date

ISBN 10

111997528X

ISBN 13

9781119975281

Quantile Regression

Estimation and Simulation, Volume 2

By: Marilena Furno,Domenico Vistocco

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Quantile Regression

Estimation and Simulation, Volume 2

By: Marilena Furno,Domenico Vistocco

Contains an overview of several technical topics of Quantile Regression Volume two of Quantile Regression offers an important guide for applied researchers that draws on the same example-based approach adopted for the first volume. The text explores topics including robustness, expectiles, m-quantile, decomposition, time series, elemental sets and linear programming. Graphical representations are widely used to visually introduce several issues, and to illustrate each method. All the topics are treated theoretically and using real data examples. Designed as a practical resource, the book is thorough without getting too technical about the statistical background. The authors cover a wide range of QR models useful in several fields. The software commands in R and Stata are available in the appendixes and featured on the accompanying website. The text: Provides an overview of several technical topics such as robustness of quantile regressions, bootstrap and elemental sets, treatment effect estimators Compares quantile regression with alternative estimators like expectiles, M-estimators and M-quantiles Offers a general introduction to linear programming focusing on the simplex method as solving method for the quantile regression problem Considers time-series issues like non-stationarity, spurious regressions, cointegration, conditional heteroskedasticity via quantile regression Offers an analysis that is both theoretically and practical Presents real data examples and graphical representations to explain the technical issues Written for researchers and students in the fields of statistics, economics, econometrics, social and environmental science, this text offers guide to the theory and application of quantile regression models.

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Page Count

307

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118863593

ISBN 13

9781118863596

Book's by Cristina Davino

Quantile Regression

Quantile Regression

Survey Data Collection and Integration

Survey Data Collection and Integration

Survey Data Collection and Integration

Survey Data Collection and Integration

Stat.Edu’21 - New Perspectives in Statistics Education. Proceedings of the International Conference Stat.Edu’21

Stat.Edu’21 - New Perspectives in Statistics Education. Proceedings of the International Conference Stat.Edu’21

Quantile Regression

Quantile Regression

Quantile Regression

Quantile Regression

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