Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with bootstrap
Search options not deleted
user 284660
The bootstrap is a resampling method to estimate the sampling distribution of a statistic.
6
votes
Accepted
How to estimate the acceleration term used in boot.ci()
In the code below is an example where I uses the patch data in the bootstrap library. I calculated the BC$_a$ interval manually. … The above mentioned notes also have examples with implementation in R.
library(bootstrap)
library(boot)
# Functions for the bootstrap and confidence interval
theta.func <- function(x){
y.val < …
- 863
1
vote
Bootstrap stats question regarding how many replicates need to ran to see a difference
I cannot really help you in python, but for choosing the number of replications ($B$), you can calculate the ideal bootstrap. … Back in 1993, Efron and Tibshirani in An introduction to the bootstrap suggested $B=200$ for the standard error. As for confidence intervals, they suggested $B>1000$. …
- 863
3
votes
3
answers
414
views
Data generating process for non-parametric bootstrap
Can anyone give an explanation of the data generating process for the non-parametric bootstrap? … Bootstrap is often used when the sample size is fairly small, lets say n < 15, but it fails mostly when n < 5.
Thanks a lot! …
- 141k