The Resource An introduction to statistics with Python : with applications in the life sciences, Thomas Haslwanter

An introduction to statistics with Python : with applications in the life sciences, Thomas Haslwanter

Label
An introduction to statistics with Python : with applications in the life sciences
Title
An introduction to statistics with Python
Title remainder
with applications in the life sciences
Statement of responsibility
Thomas Haslwanter
Creator
Author
Subject
Genre
Language
eng
Summary
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
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Haslwanter, Thomas
Dewey number
519.50285
Illustrations
illustrations
Index
index present
LC call number
QA276.4
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Statistics and computing,
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Python (Computer program language)
  • Biometry
  • Biometry
  • Mathematical statistics
  • Python (Computer program language)
  • Medical
  • Science
  • Computers
  • Computers
  • Probability & statistics
  • Life sciences: general issues
  • Maths for scientists
  • Programming & scripting languages: general
  • Computers
  • Mathematical & statistical software
Label
An introduction to statistics with Python : with applications in the life sciences, Thomas Haslwanter
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-28316-6
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
1 online resource (xvii, 278 pages)
File format
unknown
Form of item
online
Isbn
9783319283166
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-28316-6
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)954195049
  • (OCoLC)ocn954195049
Label
An introduction to statistics with Python : with applications in the life sciences, Thomas Haslwanter
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-28316-6
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
1 online resource (xvii, 278 pages)
File format
unknown
Form of item
online
Isbn
9783319283166
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-28316-6
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)954195049
  • (OCoLC)ocn954195049

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