Correlation and Causality
by David A. Kenny
Publisher: John Wiley & Sons Inc 1979
ISBN/ASIN: 0471024392
ISBN-13: 9780471024392
Number of pages: 353
Description:
This text is a general introduction to the topic of structural analysis. It is an introduction because it presumes no previous acquaintance with causal analysis. It is general because it covers all the standard, as well as a few nonstandard, statistical procedures. Since the topic is structural analysis, and not statistics, very little discussion is given to the actual mechanics of estimation.
Download or read it online for free here:
Download link
(2.1MB, PDF)
Similar books
Advanced Data Analysis from an Elementary Point of Viewby Cosma Rohilla Shalizi - Cambridge University Press
This is a draft textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression. It began as the lecture notes.
(4700 views)
Random Matrix Models and Their Applicationsby Pavel Bleher, Alexander Its - Cambridge University Press
The book covers broad areas such as topologic and combinatorial aspects of random matrix theory; scaling limits, universalities and phase transitions in matrix models; universalities for random polynomials; and applications to integrable systems.
(11327 views)
Think Stats: Probability and Statistics for Programmersby Allen B. Downey - Green Tea Press
Think Stats is an introduction to Probability and Statistics for Python programmers. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions. Basic skills in Python are assumed.
(12680 views)
Introduction to Probability, Statistics, and Random Processesby Hossein Pishro-Nik - Kappa Research, LLC
This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, sciences, finance, and other fields. It provides a clear and intuitive approach to these topics.
(5639 views)