European University Institute Library
Mathematical statistics-Data processing
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http://bibfra.me/vocab/lite/Concept
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Mathematical statistics-Data processing
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Mathematical statistics-Data processing
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Mathematical statistics-Data processing
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Incoming Resources
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12
Introductory Applied Statistics, With Resampling Methods & R, by Bruce Blaine
Statistical Methods and Analyses for Medical Devices, by Scott A. Pardo
Handbook of Statistical Bioinformatics, edited by Henry Horng-Shing Lu, Bernhard Schölkopf, Martin T. Wells, Hongyu Zhao
Applied Statistics and Data Science, Proceedings of Statistics 2021 Canada, Selected Contributions, edited by Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen
Bayes Factors for Forensic Decision Analyses with R, by Silvia Bozza, Franco Taroni, Alex Biedermann
An Introduction to Statistics with Python, With Applications in the Life Sciences, by Thomas Haslwanter
Bayesian Statistical Modeling with Stan, R, and Python, by Kentaro Matsuura
Studies in Theoretical and Applied Statistics, SIS 2021, Pisa, Italy, June 21-25, edited by Nicola Salvati, Cira Perna, Stefano Marchetti, Raymond Chambers
Models for Data Analysis, SIS 2018, Palermo, Italy, June 20-22, edited by Eugenio Brentari, Marcello Chiodi, Ernst-Jan Camiel Wit
Essentials of Excel VBA, Python, and R, Volume II: Financial Derivatives, Risk Management and Machine Learning, by John Lee, Jow-Ran Chang, Lie-Jane Kao, Cheng-Few Lee
Modern Survey Analysis, Using Python for Deeper Insights, by Walter R. Paczkowski
Essentials of Excel VBA, Python, and R, Volume I: Financial Statistics and Portfolio Analysis, by John Lee, Cheng-Few Lee
Outgoing Resources
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Mathematical statistics-Data processing
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