Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Mai 2018
Genre:	Schulbücher
	B / bioinformatics / Biostatistics / Compilers & interpreters / Computational Science and Engineering / Computer mathematics / Epidemiology & medical statistics / Life sciences# general issues / Mathematics and Statistics / Maths for scientists / Probability & statistics / Programming & scripting languages# general / Programming languages (Electronic computers) / Programming Languages, Compilers, Interpreters / Statistics / Statistics and Computing / Statistics and Computing/Statistics Programs / Statistics for Life Sciences, Medicine, Health Sciences / Statistics in Life Sciences, Medicine, Health Sciences
ISBN:	9783319803234
EAN-Code:	9783319803234
Verlag:	Springer International Publishing
Einband:	Kartoniert
Sprache:	English
Serie:	Statistics and Computing
Dimensionen:	H 235 mm / B 155 mm / D 17 mm
Gewicht:	452 gr
Seiten:	296
Zus. Info:	Paperback
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.