An Introduction to Statistics with Python by Thomas Haslwanter
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics.-
Introductory Statistics with R
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Mixed-Effects Models in S and S-PLUS
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The Grammar of Graphics
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Developing Statistical Software in Fortran 95
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Software for Data Analysis
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Basic Elements of Computational Statistics
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Modern Applied Statistics with S-PLUS
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Modern Applied Statistics with S
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SAS for Data Analysis
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Evolutionary Statistical Procedures
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XploRe: An Interactive Statistical Computing Environment
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Computer Intensive Methods in Statistics
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Local Regression and Likelihood
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Numerical Analysis for Statisticians
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Numerical Linear Algebra for Applications in Statistics
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Automatic Nonuniform Random Variate Generation
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Elements of Network Science
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Independent Random Sampling Methods
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Visualizing Time
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Graphics of Large Datasets
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S Programming
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Computational Statistics
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Branch-and-Bound Applications in Combinatorial Data Analysis
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The R Software
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Random Number Generation and Monte Carlo Methods
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Elements of Computational Statistics
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A SAS/IML Companion for Linear Models
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Applied Quantitative Finance
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Visualization and Imputation of Missing Values
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Fundamentals of Supervised Machine Learning
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Variowin
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Numerical Bayesian Methods Applied to Signal Processing
“This book is a timely addition designed to bridge the gap between statisticians/computer scientists and experimentalists (biologists, physicists, medical doctors) by focussing on solutions to practical problems …the book also provides hands-on examples and exercises for a better understanding (for which the solutions are included at the end of the book). This approach makes the book appealing to a wide audience ranging from undergraduates in various subjects to established researchers looking for a focused set of answers.” (Irina Ioana Mohorianu, zbMATH 1357.92001, 2017)
Thomas Haslwanter is a Professor at the Department of Medical Engineering of 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 Tuebingen, 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 10 years.
| SKU | Unavailable |
| ISBN 13 | 9783319803234 |
| ISBN 10 | 3319803239 |
| Title | An Introduction to Statistics with Python |
| Author | Thomas Haslwanter |
| Series | Statistics And Computing |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2018-05-30 |
| Number of pages | 278 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |