eBook - ePub
Probability and Conditional Expectation
Fundamentals for the Empirical Sciences
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- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Probability and Conditional Expectation
Fundamentals for the Empirical Sciences
Book details
Table of contents
Citations
About This Book
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.
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Yes, you can access Probability and Conditional Expectation by Rolf Steyer, Werner Nagel in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Series
- Titlepage
- Copyright
- Dedication
- Preface
- Acknowledgements
- About the companion website
- Part I: Measure-theoretical foundations of probability theory
- Part II: Probability, random variable, and its distribution
- Part III: Conditional expectation and regression
- Part IV: Conditional independence and conditional distribution
- References
- List of Symbols
- Author index
- Subject index
- EULA