Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Bøger
Bestsellers
Kommer snart
Nyheder
Spil og hobby
Hjem
Kategorier
Bestsellers
Kommer snart
Nyheder
FAQ
Konto
Kontakt
Kurv
  1. Bog
  2. Matematik
  3. Sandsynlighedsregning og statistik

An Introduction to Statistics with Python

- With Applications in the Life Sciences
Af: Thomas Haslwanter Engelsk Hardback

An Introduction to Statistics with Python

- With Applications in the Life Sciences
Af: Thomas Haslwanter Engelsk Hardback
Tjek vores konkurrenters priser

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. The book 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, the book can also be used by anyone who wants to perform a statistical data analysis. 


Vis mere
Tjek vores konkurrenters priser
Normalpris
kr 811
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

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. The book 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, the book can also be used by anyone who wants to perform a statistical data analysis. 


Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 336
ISBN-13: 9783030973704
Indbinding: Hardback
Udgave:
ISBN-10: 3030973700
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 16 nov 2022
Længde: 27mm
Bredde: 241mm
Højde: 161mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 16 nov 2022
Forfatter(e): Thomas Haslwanter
Forfatter(e) Thomas Haslwanter

Kategori Sandsynlighedsregning og statistik

ISBN-13 9783030973704

Sprog Engelsk

Indbinding Hardback

Sider 336

Udgave

Længde 27mm

Bredde 241mm

Højde 161mm

Udg. Dato 16 nov 2022

Oplagsdato 16 nov 2022

Forlag Springer Nature Switzerland AG

Kategori sammenhænge