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Catalogue Information
Field name	Details
Dewey Class	519.5
Title	An Introduction to Statistics with Python ([EBook]) : With Applications in the Life Sciences / / by Thomas Haslwanter.
Author	Haslwanter, Thomas
Other name(s)	SpringerLink (Online service)
Publication	Cham : : Springer International Publishing : : Imprint: Springer, , 2016.
Physical Details	XVII, 278 p. 113 illus., 85 illus. in color. : online resource.
Series	Statistics and computing 1431-8784
ISBN	9783319283166
Summary Note	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. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the reader and reinforce their immediate understanding of the topic. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis and an interesting alternative to R. The book is intended for master and PhD students, mainly from the life and medical sciences, with a basic knowledge of statistics. As it also provides some statistics background, the book can be used by anyone who wants to perform a statistical data analysis. .:
Contents note	Part I: Python and Statistics -- Why Statistics? -- Python -- Data Input -- Display of Statistical Data -- Part II: Distributions and Hypothesis Tests -- Background -- Distributions of One Variable -- Hypothesis Tests -- Tests of Means of Numerical Data -- Tests on Categorical Data -- Analysis of Survival Times -- Part III: Statistical Modelling -- Linear Regression Models -- Multivariate Data Analysis -- Tests on Discrete Data -- Bayesian Statistics -- Solutions -- Glossary -- Index.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site	http://dx.doi.org/10.1007/978-3-319-28316-6
Links to Related Works	Subject References: Biostatistics . Computational Science and Engineering . Computer mathematics . Programming Languages, Compilers, Interpreters . Programming languages (Electronic computers) . Statistics . Statistics and Computing/Statistics Programs . Statistics for Life Sciences, Medicine, Health Sciences . Authors: Haslwanter, Thomas . Corporate Authors: SpringerLink (Online service) . Series: Statistics and computing . Classification: 519.5 .

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An Introduction to Statistics with Python: With Applications in the Life Sciences /

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