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Foundations of Statistics for Data Scientists
With R and Python
Buch von Alan Agresti (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

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.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2021
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 468
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780367748456
ISBN-10: 0367748452
Sprache: Englisch
Einband: Gebunden
Autor: Agresti, Alan
Kateri, Maria
Hersteller: Taylor & Francis Ltd
Maße: 263 x 184 x 32 mm
Von/Mit: Alan Agresti (u. a.)
Erscheinungsdatum: 30.11.2021
Gewicht: 1,084 kg
preigu-id: 120332340
Über den Autor

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.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2021
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 468
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780367748456
ISBN-10: 0367748452
Sprache: Englisch
Einband: Gebunden
Autor: Agresti, Alan
Kateri, Maria
Hersteller: Taylor & Francis Ltd
Maße: 263 x 184 x 32 mm
Von/Mit: Alan Agresti (u. a.)
Erscheinungsdatum: 30.11.2021
Gewicht: 1,084 kg
preigu-id: 120332340
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