Statistics and Causality

Methods for Applied Empirical Research

de

,

Éditeur :

Wiley


Collection :

Wiley Series in Probability and Statistics

Paru le : 2016-05-12



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
118,11

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description
>STATISTICS AND CAUSALITY
A one-of-a-kind guide to identifying and dealing with modern statistical developments in causality
Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Illustrating the properties of statistical methods to theories of causality, the book features a summary of the latest developments in methods for statistical analysis of causality hypotheses.
The book is divided into five accessible and independent parts. The first part introduces the foundations of causal structures and discusses issues associated with standard mechanistic and difference-making theories of causality. The second part features novel generalizations of methods designed to make statements concerning the direction of effects. The third part illustrates advances in Granger-causality testing and related issues. The fourth part focuses on counterfactual approaches and propensity score analysis. Finally, the fifth part presents designs for causal inference with an overview of the research designs commonly used in epidemiology. Statistics and Causality: Methods for Applied Empirical Research also includes: New statistical methodologies and approaches to causal analysis in the context of the continuing development of philosophical theories End-of-chapter bibliographies that provide references for further discussions and additional research topics Discussions on the use and applicability of software when appropriate
Statistics and Causality: Methods for Applied Empirical Research is an ideal reference for practicing statisticians, applied mathematicians, psychologists, sociologists, logicians, medical professionals, epidemiologists, and educators who want to learn more about new methodologies in causal analysis. The book is also an excellent textbook for graduate-level courses in causality and qualitative logic.
Pages
480 pages
Collection
Wiley Series in Probability and Statistics
Parution
2016-05-12
Marque
Wiley
EAN papier
9781118947043
EAN PDF
9781118947050

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
480
Taille du fichier
7393 Ko
Prix
118,11 €
EAN EPUB
9781118947067

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
480
Taille du fichier
29778 Ko
Prix
118,11 €