Description: Introduction to Statistics With Python : With Applications in the Life Sciences, Hardcover by Haslwanter, Thomas, ISBN 3030973700, ISBN-13 9783030973704, Brand New, Free shipping in the US Now in its second edition, this textbook provides an introduction to 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. For this new edition, the introductory chapters on Python, data input and visualization have been reworked and updated. The chapter on experimental design has been expanded, and programs for the determination of confidence intervals commonly used in quality control have been introduced. Th also features a new chapter on finding patterns in data, including time series. A new appendix describes useful programming tools, such as testing tools, code repositories, and GUIs.The provided working code for Python solutions, together with easy-to-follow examples, will reinforce the reader’s immediate understanding of the topic. Accompanying data sets and Python programs are also available online. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis. With examples drawn mainly from the life and medical sciences, this book is intended primarily for masters and PhD students. As it provides the required statistics background, th can also be used by anyone who wants to perform a statistical data analysis.
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Book Title: Introduction to Statistics With Python : With Applications in the
Number of Pages: Xvi, 336 Pages
Publication Name: Introduction to Statistics with Python : with Applications in the Life Sciences
Language: English
Publisher: Springer International Publishing A&G
Subject: Mathematical & Statistical Software, Probability & Statistics / General, General, Databases / General
Publication Year: 2022
Type: Textbook
Item Weight: 24.7 Oz
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Author: Thomas Haslwanter
Item Width: 6.1 in
Series: Statistics and Computing Ser.
Format: Hardcover
