Ordenar por: Autor | Título | Año |
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Artículo |
A score function to prioritize editing in household survey data [Recurso electrónico] : a machine learning approach / Nicolás Forteza, Sandra García-Uribe.
Forteza, Nicolás
En: Journal of official statistics [Artículos], v.41, issue 1, March 2025, pp. 144–171
https://doi.org/10.1177/0282423X241309971
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| 2 | 9780367554460 | Libro |
Microeconometrics with R / Yves Croissant.
Croissant, Yves
Boca Raton : CRC, 2025.
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Fondos |
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| 3 | 9781032398334 (en papel) | Libro |
Game theory for applied econometricians [Recurso electrónico] : data analytics with R / Christopher P. Adams.
Adams, Christopher P
Boca Raton : Chapman & Hall/CRC, 2025.
https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=4078173
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| 4 | 978-3-031-54680-8 (En línea) | Libro |
Python for accounting and finance [Recurso electrónico] an integrative approach to using Python for research / by Sunil Kumar.
Kumar, Sunil
Cham : Palgrave Macmillan, 2024.
https://doi.org/10.1007/978-3-031-54680-8
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| 5 | 978-3-031-57182-4 (En línea) | Libro |
A primer for spatial econometrics [Recurso electrónico] : with applications in R, STATA and Python / Giuseppe Arbia.
Arbia, Giuseppe
Cham : Palgrave Macmillan, 2024.
https://doi.org/10.1007/978-3-031-57182-4
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| 6 | 978-84-9052-530-2 | Libro |
Machine learning : fundamentos, algoritmos y aplicaciones para los negocios, industria y finanzas / Jacinto Velasco Rebolledo.
Velasco Rebolledo, Jacinto
Madrid : Díaz de Santos, 2024.
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Fondos |
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| 7 | 978-3-031-56034-7 (En línea) | Libro |
DSGE models for real business cycle and new keynesian macroeconomics [Recurso electrónico] : theoretical methods and numerical solutions with DYNARE / by Giuseppe Chirichiello.
Chirichiello, Giuseppe
Cham : Springer, 2024.
https://doi.org/10.1007/978-3-031-56034-7
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| 8 | 978-3-031-62608-1 (En línea) | Libro |
Complex-valued econometrics with examples in R [Recurso electrónico] : modelling, regression and applications / by Sergey Svetunkov, Ivan Svetunkov.
Svetunkov, Sergey
Cham : Springer Nature Switzerland, 2024.
https://doi.org/10.1007/978-3-031-62608-1
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| 9 | 978-3-031-53142-2 (En línea) | Libro |
Applied statistics and econometrics [Recurso electrónico] : basic topics and tools with Gretl and R / by Bjørnar Karlsen Kivedal.
Karlsen Kivedal, Bjørnar
Cham : Palgrave Macmillan, 2024.
https://doi.org/10.1007/978-3-031-53142-2
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| 10 | 978-3-031-35044-3 (en línea) | Libro |
Using R for trade policy analysis [Recurso electrónico] : R codes for the UNCTAD and WTO Practical Guide / Massimiliano Porto.
Porto, Massimiliano
Cham : Springer, 2023.
https://doi.org/10.1007/978-3-031-35044-3
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| 11 |
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Libro |
A score function to prioritize editing in household survey data [Recurso electrónico] : a machine learning approach / Nicolás Forteza and Sandra García-Uribe.
Forteza, Nicolás
Madrid : Banco de España, 2023.
https://repositorio.bde.es/handle/123456789/34613
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| 12 | 978-3-031-18552-6 (En línea) | Libro |
Novel financial applications of machine learning and deep learning [Recurso electrónico] : Algorithms, product modeling, and applications / edited by Mohammad Zoynul Abedin, Petr Hajek.
Abedin, Mohammad Zoynul (editor literario)
Cham : Springer, 2023.
https://doi.org/10.1007/978-3-031-18552-6
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| 13 | 978-981-99-3905-3 (En línea) | Libro |
Demystifying causal inference [Recurso electrónico] : public policy applications with R / Vikram Dayal, Anand Murugesan.
Dayal, Vikram
Singapore : Springer, 2023.
https://doi.org/10.1007/978-981-99-3905-3
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| 14 | 978-1-59718-365-9 (en papel) | Libro |
A visual guide to Stata graphics [Recurso electrónico] / Michael N. Mitchell.
Mitchell, Michael N.
College Station, Texas : Stata Press, 2022.
https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3121111&lang=es&site=ehost-live
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| 15 | 978-3-031-05202-6 (en línea) | Libro |
Introduction to mathematics for Economics with R [Recurso electrónico] / Massimiliano Porto.
Porto, Massimiliano
Cham : Springer, 2022.
https://doi.org/10.1007/978-3-031-05202-6
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| 16 | 978-3-031-14236-9 (En línea) | Libro |
Essentials of Excel VBA, Python, and R [Recurso electrónico]. Volume I, Financial statistics and portfolio analysis / John Lee, Cheng-Few Lee.
Lee, John C.
Cham : Springer, 2022.
https://doi.org/10.1007/978-3-031-14236-9
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| 17 | 978-3-030-70285-4 (En línea) | Libro |
Pricing export credit [Recurso electrónico] : a concise framework with examples and implementation code in R / Claudio Franzetti.
Franzetti, Claudio
Cham : Springer, 2021.
https://doi.org/10.1007/978-3-030-70285-4
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| 18 | 978-84-7476-851-0 | Libro |
Análisis de datos con Stata / Modesto Escobar Mercado, Enrique Fernández Macías, Fabrizio Bernardi.
Escobar Mercado, Modesto
Madrid : CIS. Centro de Investigaciones Sociológicas, 2021.
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Fondos |
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| 19 | 9783030345297 (En línea) | Libro |
Using R for trade policy analysis [Recurso electrónico] : R codes for the UNCTAD and WTO practical guide / by Massimiliano Porto.
Porto, Massimiliano
Cham : Springer, 2020.
https://doi.org/10.1007/978-3-030-34529-7
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| 20 | 9781108725835 | Libro |
Statistics using Stata : an integrative approach / by Sharon Lawner Weinberg and Sarah Knapp Abramowitz.
Weinberg, Sharon Lawner
Cambridge, UK : Cambridge, 2020.
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Fondos |
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| 21 | 978-1-119-25641-0 | Libro |
SAS for R users : a book for data scientist / Ajay Ohri.
Ohri, Ajay
Hoboken : Wiley, 2020.
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Fondos |
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| 22 | 9783030445041 (En línea) | Libro |
Quantile regression for cross-sectional and time series data [Recurso electrónico] : applications in energy markets using R / by Jorge M. Uribe, Montserrat Guillen.
Uribe, Jorge M.
Cham : Springer, 2020.
https://doi.org/10.1007/978-3-030-44504-1
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| 23 | 9781119536949 | Libro |
Probability with R : an introduction with computer science applications / by Jane M. Horgan.
Horgan, Jane M.
Hoboken : Wiley, 2020.
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Fondos |
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| 24 | 978-1-138-39329-5 | Libro |
Probability and statistics for data science : math + R + data / Norman Matloff.
Matloff, Norman S.
Boca Raton, Florida : CRC Press, 2020.
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Fondos |
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| 25 | 978-1-118-94889-7 | Libro |
Predictive analytics : parametric models for regression and classification using R / Ajit C. Tamhane with contributions from Edward C. Malthouse.
Tamhane, Ajit C.
Hoboken : Wiley & Sons, 2020.
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Fondos |
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