Alan Agresti, Maria Kateri

Foundations of Statistics for Data Scientists

With R and Python

• Gebundenes Buch

Produktbeschreibung

This book shows the elements of statistical science that are highly relevant for students who plan to become data scientists. However, most of the content focuses on the statistical methods and the theory behind them, rather than on data science.

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Produktdetails

• Chapman & Hall/CRC Texts in Statistical Science
• Verlag: Taylor & Francis Ltd
• Seitenzahl: 468
• Erscheinungstermin: 30. November 2021
• Englisch
• Abmessung: 263mm x 184mm x 32mm
• Gewicht: 1150g
• ISBN-13: 9780367748456
• ISBN-10: 0367748452
• Artikelnr.: 62219731

Autorenporträt

Alan Agresti, Distinguished Professor Emeritus at the University of Florida, is the author of seven books, including Categorical Data Analysis (Wiley) and Statistics: The Art and Science of Learning from Data (Pearson), and has presented short courses in 35 countries. His awards include an honorary doctorate from De Montfort University (UK) and Statistician of the Year from the American Statistical Association (Chicago chapter). Maria Kateri, Professor of Statistics and Data Science at the RWTH Aachen University, authored the monograph Contingency Table Analysis: Methods and Implementation Using R (Birkhäuser/Springer) and a textbook on mathematics for economists (in German). She has long-term experience in teaching statistics courses to students of Data Science, Mathematics, Statistics, Computer Science, Business Administration, and Engineering.

Inhaltsangabe

1. Introduction to Statistical Science 2. Probability Distributions 3.
Sampling Distributions 4. Statistical Inference: Estimation Skip Product
Menu 5. Statistical Inference: Significance Testing 6. Linear Models and
Least Squares 7. Generalized Linear Models 8. Classification and Clustering
9. Statistical Science: A Historical Overview Appendices