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 and Mathematical StatisticsProbability and Mathematical Statistics
by - University of Louisville
This book is an introduction to probability and mathematical statistics intended for students already having some elementary mathematical background. It is intended for a one-year junior or senior level undergraduate or beginning graduate course.
(12738 views)
Book cover: Design of Comparative ExperimentsDesign of Comparative Experiments
by - Cambridge University Press
This book develops a coherent framework for thinking about factors that affect experiments and their relationships, including the use of Hasse diagrams. The book is ideal for advanced undergraduate and beginning graduate courses.
(23536 views)
Book cover: Bayesian Field TheoryBayesian Field Theory
by - arXiv.org
A particular Bayesian field theory is defined by combining a likelihood model, providing a probabilistic description of the measurement process, and a prior model, providing the information necessary to generalize from training to non-training data.
(7027 views)
Book cover: Reversible Markov Chains and Random Walks on GraphsReversible Markov Chains and Random Walks on Graphs
by - University of California, Berkeley
From the table of contents: General Markov Chains; Reversible Markov Chains; Hitting and Convergence Time, and Flow Rate, Parameters for Reversible Markov Chains; Special Graphs and Trees; Cover Times; Symmetric Graphs and Chains; etc.
(14733 views)