Documentos 23 a 47 de 315

Página anterior Página siguiente

Ordenar por: Autor | Título | Año |

23
9781119536949 Libro Probability with R : an introduction with computer science applications / by Jane M. Horgan. Horgan, Jane M. Hoboken : Wiley, 2020.

Fondos
24
978-0-367-35798-6 Libro Introduction to data science : data analysis and prediction algorithms with R / Rafael A. Irizarry. Irizarry, Rafael A. Boca Ratón : CRC, 2020.

Fondos
25
978-1-119-51604-0 Libro Data mining : concepts, models, methods, and algorithms / Mehmed Kantardzic. Kantardzic, Mehmed Hoboken, New Jersey : Wiley, 2020.

Fondos
26
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.

Fondos
27
978-1-119-25641-0 Libro SAS for R users : a book for data scientist / Ajay Ohri. Ohri, Ajay Hoboken : Wiley, 2020.

Fondos
28
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

29
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.

Fondos
30
978-3-030-39691-6 (En línea) Libro Analytical theory of democracy [Recurso electrónico] : history, mathematics and applications / by Andranik Tangian. Tangian, Andranik Cham : Springer, 2020. https://doi.org/10.1007/978-3-030-39691-6

31
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

32
9781108725835 Libro Statistics using Stata : an integrative approach / by Sharon Lawner Weinberg and Sarah Knapp Abramowitz. Weinberg, Sharon Lawner Cambridge, UK : Cambridge, 2020.

Fondos
33
978-1-108-70374-1 Libro Computational Bayesian statistics : an introduction / M. Antónia Amaral Turkman, Carlos Daniel Paulino, Peter Müller. Amaral Turkman, M. Antónia Cambridge : Cambridge University Press, 2019.

Fondos
34
978-1-108-49420-5 Libro Model-based clustering and classification for data science : with applications in R / Charles Bouveyron, Gilles Celeux, T. Brendan Murphy, Adrian E. Raftery. Bouveyron, Charles Cambridge, UK : Cambridge University Press, 2019.

Fondos
35
978-0-12-813512-9 (en línea) Libro Introduction to quantitative macroeconomics using Julia [Recurso electrónico] : from basic to state-of-the-art computational techniques / Petre Caraiani. Caraiani, Petre London : Academic Press, 2019. https://www.sciencedirect.com/book/9780128122198/introduction-to-quantitative-macroeconomics-using-julia

36
978-0-12-812219-8 Libro Introduction to quantitative macroeconomics using Julia : from basic to state-of-the-art computational techniques / Petre Caraiani. Caraiani, Petre London : Academic Press, cop. 2019.

Fondos
37
9789811399459 (En línea) Libro Automation of trading machine for traders [Recurso electrónico] : how to develop trading models / by Jacinta Chan. Chan, Jacinta Singapore : Palgrave Pivot, 2019. https://doi.org/10.1007/978-981-13-9945-9

38
978-981-13-3169-5 Libro Qualitative research using R : a systematic approach / Yanto Chandra, Liang Shang. Chandra, Yanto Singapore : Springer, 2019.

Fondos
39
978-1789616712 Libro Hands-on reinforcement learning with R. : get up to speed with building self-learning systems using R 3.x / Giuseppe Ciaburro. Ciaburro, Giuseppe Birmingham : Packt, 2019.

Fondos
40
978-3-030-17767-6 (En línea) Libro Applied statistics and multivariate data analysis for business and economics [Recurso electrónico] : a modern approach using SPSS, Stata, and Excel / by Thomas Cleff. Cleff, Thomas. Cham : Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-17767-6

41
9789813290198 (En línea) Libro Econometrics in theory and practice [Recurso electrónico] : analysis of cross section, time series and panel data with Stata 15.1 / by Panchanan Das. Das, Panchanan. Singapore : Springer, 2019. https://doi.org/10.1007/978-981-32-9019-8

42
978-1-119-52038-2 Libro Using Excel for business and financial modelling : a practical guide / Danielle Stein Fairhurst. Fairhurst, Danielle Stein Chichester, West Sussex : Wiley, 2019.

Fondos
43
978-0-12-811216-8 (en papel) Libro Data Science for business and decision making [Recurso electrónico] / Luiz Paulo Fávero, Patrícia Belfiore. Fávero, Luiz Paulo London, United Kingdom : Academic Press, 2019. https://www.sciencedirect.com/science/book/9780128112168

44
978-3-030-17020-2 (En línea) Libro Economics for a fairer society [Recurso electrónico] going back to basics using agent-based models / by Tim Gooding. Gooding, Tim Cham : Springer International Publishing Imprint: Palgrave Pivot, 2019. https://doi.org/10.1007/978-3-030-17020-2

45
978-1-138-32916-4 Libro R companion to elementary applied statistics / Christopher Hay-Jahans. Hay-Jahans, Christopher Boca Raton : CRC Press, cop. 2019.

Fondos
46
978-0-691-18162-2 Libro Data visualization : a practical introduction / Kieran Healy. Healy, Kieran Princeton : Princeton University Press, 2019.

Fondos
47
978-1-138-03536-2 Libro Robust statistical methods with R / Jana Jurečková, Jan Picek, Martin Schindler. Jurečková, Jana (1940-) Boca Raton, Florida : CRC Press, cop. 2019.

Fondos

Página anterior Página siguiente

2013 Banco de España, Madrid, España. Reservados todos los derechos
Basado en Ex Libris (© 2009 Ex Libris)

Contacto