Think stats : exploratory data analysis

Think stats exploratory data analysis

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You’ll learn the entire proces...

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Bibliographic Details
Other Authors: Downey, Allen B., author (author), Loukides, Michael Kosta, editor (editor), Blanchette, Meghan, editor (proofreader), Kersey, Amanda, proofreader (cover designer), Montgomery, Karen, cover designer (illustrator), Demarest, Rebecca, illustrator
Format: eBook
Language:Inglés
Published: Sebastopol, California : O'Reilly 2015.
Edition:2nd ed
Subjects:
Estadística > Proceso de datos
Estadística > Estudio y enseñanza
Programmed instructional materials.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628680806719
Table of Contents:
  • Preface
  • 1 Exploratory data analysis
  • 2 Distributions
  • 3 Probability mass functions
  • 4 Cumulative distribution functions
  • 5 Modeling distributions
  • 6 Probability density functions
  • 7 Relationships between variables
  • 8 Estimation
  • 9 Hypothesis testing
  • 10 Linear least squares
  • 11 Regression
  • 12 Time series analysis
  • 13 Survival analysis
  • 14 Analytic methods

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