Statistics Without Tricks: Methods for Critical Data Analysis and Causal Inference
A

Statistics Without Tricks: Methods for Critical Data Analysis and Causal Inference

Mathematics
statistics data analysis causal inference critical thinking quantitative methods regression analysis experimental design
Author
Ethan Bueno de Mesquita, Anthony Fowler
Publisher
DMK Press
Year
2023
Language
Russian
188
Rate this book

To read the book, log in / register

Preview fragment

Similar books

Causal Analysis for the Bold and Honest

Causal Analysis for the Bold and Honest

Mateus Fagundes, Artem Gruzdev

Causal Analysis in Data Science

Causal Analysis in Data Science

Alex Ruiz de Villa Robert

Causal Inference with Python. Cause-and-Effect Relationships in IT Development

Causal Inference with Python. Cause-and-Effect Relationships in IT Development

Mateusz Fakur

Behavioral Data Analysis with R and Python. How to Improve Business Results Based on Customer Data

Behavioral Data Analysis with R and Python. How to Improve Business Results Based on Customer Data

Florent Buisson

Diving into Data Analytics

Diving into Data Analytics

George Mount

Data Science. Insider Information for Beginners. Including the R Language

Data Science. Insider Information for Beginners. Including the R Language

Kathy O'Neill, Rachel Schutt

Regression: Theory and Practice. With Examples in R and Stan

Regression: Theory and Practice. With Examples in R and Stan

Andrew Gelman, Jennifer Hill, Aki Vehtari

Theoretical Minimum on Big Data. Everything You Need to Know About Big Data

Theoretical Minimum on Big Data. Everything You Need to Know About Big Data

Yoon Annalyn, Soo Kenneth

Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

Thomas Nield

Practical Statistics for Data Science Professionals: 50+ Essential Concepts Using R and Python

Practical Statistics for Data Science Professionals: 50+ Essential Concepts Using R and Python

Peter Bruce, Andrew Bruce, Peter Gedeck