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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
- Part II Conditional Moment Functions and Related Statistical Objects
- Part III Appendices
- Appendix A Large and Small Orders of Magnitude and Probability
- Appendix B R, RStudio, TeX, and Git
- Appendix C Computational Considerations
- Appendix D R Markdown for Assignments
- Appendix E Practicum
- Bibliography
- Author Index
- Subject Index
Appendix B - R, RStudio, TeX, and Git
from Part III - Appendices
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
- Part II Conditional Moment Functions and Related Statistical Objects
- Part III Appendices
- Appendix A Large and Small Orders of Magnitude and Probability
- Appendix B R, RStudio, TeX, and Git
- Appendix C Computational Considerations
- Appendix D R Markdown for Assignments
- Appendix E Practicum
- Bibliography
- Author Index
- Subject Index
Summary
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- Type
- Chapter
- Information
- An Introduction to the Advanced Theory and Practice of Nonparametric EconometricsA Replicable Approach Using R, pp. 323 - 326Publisher: Cambridge University PressPrint publication year: 2019