Regression Models for Data Science in R: Statistical inference for data science.
Jeff Leek, Roger Peng, Brian Caffo,
Poor formating of equations
The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The student should have a basic understanding of statistical inference such as contained in "Statistical inference for data science". The book gives a rigorous treatment of the elementary concepts of regression models from a practical perspective. After reading the book and watching the associated videos, students will be able to perform multivariable regression models and understand their interpretations.
The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The student should have a basic understanding of statistical inference such as contained in "Statistical inference for data science". The book gives a rigorous treatment of the elementary concepts of regression models from a practical perspective. After reading the book and watching the associated videos, students will be able to perform multivariable regression models and understand their interpretations.
კატეგორია:
წელი:
2022
გამომცემლობა:
UNKNOWN
ენა:
english
გვერდები:
185
ISBN:
B09RSC2GDT
ფაილი:
PDF, 2.46 MB
IPFS:
,
english, 2022
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