Statistical Inference for Data Science - A Companion to the Coursera Statistical Inference Course
Brian Caffo
The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The book gives a rigorous treatment of the elementary concepts in statistical inference from a classical frequentist perspective. After reading this book and performing the exercises, the student will understand the basics of hypothesis testing, confidence intervals and probability.
年:
2015
语言:
english
页:
112
文件:
PDF, 2.63 MB
IPFS:
,
english, 2015
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