Logo

Correlation and Causality by David A. Kenny

Large book cover: Correlation and Causality

Correlation and Causality
by

Publisher: John Wiley & Sons Inc
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.

Home page url

Download or read it online for free here:
Download link
(2.1MB, PDF)

Similar books

Book cover: Probability, Statistics and Stochastic ProcessesProbability, Statistics and Stochastic Processes
by
Contents: Probability (Probability Calculus, Random Variables, Discrete and Continuous Distributions); Statistics (Handling of Data, Sampling, Estimation, Hypothesis Testing); Stochastic Processes (Markov Processes, Continuous-Time Processes).
(10248 views)
Book cover: Non-Uniform Random Variate GenerationNon-Uniform Random Variate Generation
by - Springer
The book on small field on the crossroads of statistics, operations research and computer science. The applications of random number generators are wide and varied. The study of non-uniform random variates is precisely the subject area of the book.
(13517 views)
Book cover: Lectures on Noise Sensitivity and PercolationLectures on Noise Sensitivity and Percolation
by - arXiv
The goal of this set of lectures is to combine two seemingly unrelated topics: (1) The study of Boolean functions, a field particularly active in computer science; (2) Some models in statistical physics, mostly percolation.
(10444 views)
Book cover: Probability and Statistics CookbookProbability and Statistics Cookbook
by
The cookbook contains a succinct representation of various topics in probability theory and statistics. It provides a comprehensive reference reduced to the mathematical essence, rather than aiming for elaborate explanations.
(17763 views)