Statistics Slam Dunk

Statistics Slam Dunk

Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. Statistics Slam Dunk is an engaging how-to guide for statistical ana...

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Detalles Bibliográficos
Autor principal: Sutton, Gary (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York : Manning Publications Co. LLC 2024.
Edición:1st ed
Materias:
National Basketball Association > Statistical methods > Computer programs.
Basketball > Statistical methods > Computer programs.
R (Computer program language)
Statistics > Computer programs.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009799030506719
Tabla de Contenidos:
  • Getting started
  • Exploring data
  • Segmentation analysis
  • Constrained optimization
  • Regression models
  • More wrangling and visualizing data
  • T-testing and effect size testing
  • Optimal stopping
  • Chi-square teting and more effect size testing
  • Doing more with ggplot2
  • K-means clustering
  • Computing and plotting inequality
  • More with Gini coefficients and Lorenz curves
  • Intermediate and advanced modeling
  • The Lindy effect
  • Randomness versus causality
  • Collective intelligence
  • Statistical dispersion methods
  • Data standardization
  • Finishing up.

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