bias | R Documentation |
Description: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque eleifend odio ac rutrum luctus. Aenean placerat porttitor commodo. Pellentesque eget porta libero. Pellentesque molestie mi sed orci feugiat, non mollis enim tristique.
## S4 method for signature 'FLQuantJK'
bias(x)
## S4 method for signature 'FLParJK'
bias(x)
x |
An object holding estimates obtained through jackknife |
Details: Aliquam sagittis feugiat felis eget consequat. Praesent eleifend dolor massa, vitae faucibus justo lacinia a. Cras sed erat et magna pharetra bibendum quis in mi. Sed sodales mollis arcu, sit amet venenatis lorem fringilla vel. Vivamus vitae ipsum sem. Donec malesuada purus at libero bibendum accumsan. Donec ipsum sapien, feugiat blandit arcu in, dapibus dictum felis.
\widehat{Bias}_{(\theta)} = (n - 1)((\frac{1}{n}\sum\limits_{i=1}^n\hat{\theta}_{(i)})-\hat{\theta})
A value for the mean bias
The FLR Team
FLComp
flq <- FLQuant(1:8)
flj <- jackknife(flq)
bias(flj)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.