Probability and Conditional Expectation

Fundamentals for the Empirical Sciences de

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Éditeur :

Wiley


Collection :

Wiley Series in Probability and Statistics

Paru le : 2017-02-22

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Description

Probability and Conditional Expectations bridges the gap between books on probability theory and statistics by providing the probabilistic concepts estimated and tested in analysis of variance, regression analysis, factor analysis, structural equation modeling, hierarchical linear models and analysis of qualitative data. The authors emphasize the theory of conditional expectations that is also fundamental to conditional independence and conditional distributions.
Probability and Conditional Expectations Presents a rigorous and detailed mathematical treatment of probability theory focusing on concepts that are fundamental to understand what we are estimating in applied statistics. Explores the basics of random variables along with extensive coverage of measurable functions and integration. Extensively treats conditional expectations also with respect to a conditional probability measure and the concept of conditional effect functions, which are crucial in the analysis of causal effects. Is illustrated throughout with simple examples, numerous exercises and detailed solutions. Provides website links to further resources including videos of courses delivered by the authors as well as R code exercises to help illustrate the theory presented throughout the book.
Pages
600 pages
Collection
Wiley Series in Probability and Statistics
Parution
2017-02-22
Marque
Wiley
EAN papier
9781119243526
EAN PDF
9781119243502

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
600
Taille du fichier
8602 Ko
Prix
102,28 €
EAN EPUB
9781119243489

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
600
Taille du fichier
25139 Ko
Prix
102,28 €