**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

**A Minimum of Stochastics for Scientists**

by

**Noel Corngold**-

**Caltech**

The book introduces students to the ideas and attitudes that underlie the statistical modeling of physical, chemical, biological systems. The text contains material the author have tried to convey to an audience composed mostly of graduate students.

(

**8242**views)

**Basic Data Analysis and More: A Guided Tour Using Python**

by

**O. Melchert**-

**arXiv**

In these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical simulations (aka sequence of random experiments).

(

**9486**views)

**Introduction to Probability, Statistics, and Random Processes**

by

**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.

(

**6691**views)

**Probability, Statistics and Stochastic Processes**

by

**Cosma Rohilla Shalizi**

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).

(

**7353**views)