Statistical Inference
Vikram Dayal ()
Additional contact information
Vikram Dayal: Institute of Economic Growth, Indian Economic Service Section
Chapter Chapter 9 in Quantitative Economics with R, 2020, pp 119-151 from Springer
Abstract:
Abstract We use box models to illustrate statistical significance. We use simulation to understand sampling distributions and confidence intervals. We then look at simulation-based methods for statistical inference—the bootstrap and permutation tests.
Keywords: Simulation; Sampling distribution; Confidence intervals; Bootstrap; Permutation tests (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-2035-8_9
Ordering information: This item can be ordered from
http://www.springer.com/9789811520358
DOI: 10.1007/978-981-15-2035-8_9
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().