Statistical inference for data science

Regression Models for Data Science in R:

📁 Regression Models for Data Science in R: Statistical inference for data science.

✍ YASSINE MOUSAIF 📂 Library 📅 2022 🏛 UNKNOWN 🌐 English

What's Special about this Book: 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 infe

Statistical inference for data science -

📁 Statistical inference for data science - A companion to the Coursera Statistical Inference Course

✍ Brian Caffo 📂 Library 📅 2015 🌐 English

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 perfor

Statistical Foundations, Reasoning and I

📁 Statistical Foundations, Reasoning and Inference: For Science and Data Science (Springer Series in Statistics)

✍ Göran Kauermann, Helmut Küchenhoff, Christian Heumann 📂 Library 📅 2021 🏛 Springer 🌐 English

This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of u

Statistical Foundations, Reasoning and I

📁 Statistical Foundations, Reasoning and Inference: For Science and Data Science (Springer Series in Statistics)

✍ Göran Kauermann, Helmut Küchenhoff, Christian Heumann 📂 Library 📅 2021 🏛 Springer 🌐 English

This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of u

Exact Statistical Inference for Categori

📁 Exact Statistical Inference for Categorical Data

✍ Shan, Guogen 📂 Library 📅 2016 🏛 Elsevier, Academic Press 🌐 English

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make statistical inference. This book introduces both conditional and unconditional exact approaches for the data in 2 by 2, or 2 by k contingency tables, and is an

Statistical Inference for Engineers and

📁 Statistical Inference for Engineers and Data Scientists

✍ Pierre Moulin; Venugopal V. Veeravalli 📂 Library 📅 2019 🏛 Cambridge University Press 🌐 English

This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers