Probability and Conditional Expectation
eBook - ePub

Probability and Conditional Expectation

Fundamentals for the Empirical Sciences

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Probability and Conditional Expectation

Fundamentals for the Empirical Sciences

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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
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

Publisher
Wiley
Year
2017
Print ISBN
9781119243526
eBook ISBN
9781119243489

Table of contents

  1. Cover
  2. Series
  3. Titlepage
  4. Copyright
  5. Dedication
  6. Preface
  7. Acknowledgements
  8. About the companion website
  9. Part I: Measure-theoretical foundations of probability theory
  10. Part II: Probability, random variable, and its distribution
  11. Part III: Conditional expectation and regression
  12. Part IV: Conditional independence and conditional distribution
  13. References
  14. List of Symbols
  15. Author index
  16. Subject index
  17. EULA