Introduction to Statistics with Python

With Applications in the Life Sciences

Inbunden, Engelska, 2022

Av Thomas Haslwanter

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Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis.

Produktinformation

Utgivningsdatum2022-11-16
Mått156 x 234 x 21 mm
Vikt672 g
FormatInbunden
SpråkEngelska
SerieStatistics and Computing
Antal sidor336
Upplaga2
FörlagSpringer Nature Switzerland AG
ISBN9783030973704

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Matematisk statistik inom Naturvetenskap och teknik
Programmeringsböcker inom Data och it
Biovetenskap inom Naturvetenskap och teknik
Artificiell intelligens inom Data och it
Affärsapplikationer inom Data och it
Databaser inom Data och it

Thomas Haslwanter is a Professor at the School of Medical Engineering and Applied Social Sciences at the University of Applied Sciences Upper Austria in Linz, and lecturer at the ETH Zurich in Switzerland. He also worked as a researcher at the University of Sydney, Australia and the University of Tübingen, Germany. He has extensive experience in medical research, with a focus on the diagnosis and treatment of vertigo and dizziness and on rehabilitation. After 15 years of extensive use of Matlab, he discovered Python, which he now uses for statistical data analysis, sound and image processing, and for biological simulation applications. He has been teaching in an academic environment for more than 15 years.

I Python and Statistics.- 1 Introduction.- 2 Python.- 3 Data Input.- 4 Data Display.- II Distributions and Hypothesis Tests.- 5 Basic Statistical Concepts.- 6 Distributions of One Variable.- 7 Hypothesis Tests.- 8 Tests of Means of Numerical Data.- 9 Tests on Categorical Data.- 10 Analysis of Survival Times.- III Statistical Modelling.- 11 Finding Patterns in Signals.- 12 Linear Regression Models.- 13 Generalized Linear Models.- 14 Bayesian Statistics.- Appendices.- A Useful Programming Tools.- B Solutions.- C Equations for Confidence Intervals.- D Web Ressources.- Glossary.- Bibliography.- Index.