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. Series: Wiley Series in Probability and Statistics. Num Pages: 600 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 244 x 170. . . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Probability and Conditional Expectation: Fundamentals for the Empirical Sciences
Publisher: John Wiley & Sons Inc
Publication Date: 2017
Language: English
ISBN 10: 1119243521
ISBN 13: 9781119243526
Binding: Hardcover
Condition: New

About this title

Synopsis

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.

About the Author

Rolf Steyer,
Institute of Psychology, University of Jena, Germany

Werner Nagel,
Institute of Mathematics, University of Jena, Germany

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