An Introduction to Statistics with Python

DOI10.1007/978-3-030-97371-1zbMath1502.62004OpenAlexW4313179165MaRDI QIDQ5077759

T. Haslwanter

Publication date: 19 May 2022

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-97371-1

zbMATH Keywords

multivariate data analysisnormal distributionBayesian statisticsprobability distributionscontinuous distributionshypothesis testslinear regression modelsPython plottingtests of meanstests on categorical dataPandasSeaborn

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15) Bayesian inference (62F15) Bootstrap, jackknife and other resampling methods (62F40) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to biology (92-01) Software, source code, etc. for problems pertaining to biology (92-04)

Uses Software

• Matlab
• Python
• pandas
• Seaborn
• nose
• PyQtGraph
• PySimpleGUI

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