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Book contents
- Frontmatter
- Contents
- List of Tables
- List of Figures
- Preface
- Glossary of Notation
- Part I Probability Functions, Probability Density Functions, and Their Cumulative Counterparts
- 1 Discrete Probability and Cumulative Probability Functions
- 2 Continuous Density and Cumulative Distribution Functions
- 3 Mixed-Data Probability Density and Cumulative Distribution Functions
- 4 Conditional Probability Density and Cumulative Distribution Functions
- Part II Conditional Moment Functions and Related Statistical Objects
- Part III Appendices
- Bibliography
- Author Index
- Subject Index
4 - Conditional Probability Density and Cumulative Distribution Functions
from Part I - Probability Functions, Probability Density Functions, and Their Cumulative Counterparts
Published online by Cambridge University Press: 11 April 2019
- Frontmatter
- Contents
- List of Tables
- List of Figures
- Preface
- Glossary of Notation
- Part I Probability Functions, Probability Density Functions, and Their Cumulative Counterparts
- 1 Discrete Probability and Cumulative Probability Functions
- 2 Continuous Density and Cumulative Distribution Functions
- 3 Mixed-Data Probability Density and Cumulative Distribution Functions
- 4 Conditional Probability Density and Cumulative Distribution Functions
- Part II Conditional Moment Functions and Related Statistical Objects
- Part III Appendices
- Bibliography
- Author Index
- Subject Index
Summary
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- Chapter
- Information
- An Introduction to the Advanced Theory and Practice of Nonparametric EconometricsA Replicable Approach Using R, pp. 147 - 186Publisher: Cambridge University PressPrint publication year: 2019