Documentos 23 a 47 de 314

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

Fondos
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.

Fondos
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.

Fondos
26
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
27
978-1-138-49568-5 Libro Hands-on machine learning with R / Brad Boehmke, Brandon Greenwell. Boehmke, Bradley C. Boca Ratón : CRC Press, 2020.

Fondos
28
978-1-119-51604-0 Libro Data mining : concepts, models, methods, and algorithms / Mehmed Kantardzic. Kantardzic, Mehmed Hoboken, New Jersey : Wiley, 2020.

Fondos
29
978-1-119-63272-6 Libro The big R-book : from data science to learning machines and big data / Philippe J. S. De Brouwer. De Brouwer, Philippe J. S. Hoboken, New Jersey : Wiley, 2020.

Fondos
30
978-1-4987-8575-4 Libro Bayesian hierarchical models : with applications using R / by Peter D. Congdon. Congdon, Peter Boca Raton : CRC Press, 2020.

Fondos
31
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

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978-1-118-38798-6 Libro Advanced statistics with applications in R / Eugene Demidenko. Demidenko, Eugene Hoboken, New Jersey : Wiley, 2020.

Fondos
33
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
34
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
35
978-1-118-73806-1 Libro Robust nonlinear regression : with applications using R / Hossein Riazoshams, Habshah Midi, Gebrenegus Ghilagaber. Riazoshams, Hossein Hoboken, NJ : Wiley, 2019.

Fondos
36
978-1-138-48403-0 Libro Reproducible finance with R : code flows and shiny apps for portfolio analysis / Jonathan K. Regenstein. Regenstein, Jonathan K. Boca Raton : CRC Press, cop. 2019.

Fondos
37
978-0-19-090066-3 Libro Reproducible econometrics using R / Jeffrey S. Racine. Racine, Jeffrey Scott New York : Oxford University Press, 2019.

Fondos
38
978-1492040682 Libro R Cookbook. : proven recipes for Data Analysis, Statistics, and graphics / J.D. Long and Paul Teetor. Long, James D. Sebastopol : O’Reilly Media, 2019.

Fondos
39
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
40
978-981-13-3169-5 Libro Qualitative research using R : a systematic approach / Yanto Chandra, Liang Shang. Chandra, Yanto Singapore : Springer, 2019.

Fondos
41
978-84-362-7567-4 Libro Métodos de data science aplicados a la economía y a la administración y dirección de empresas. / Juan Antonio Vicente Vírseda, Julio González Arias, Francisco Javier Parra Rodríguez, Manuel Beltrán Pascual. Vicente Vírseda, Juan Antonio Madrid : UNED, 2019.

Fondos
42
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
43
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

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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
45
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
46
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

47
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

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