Learn R Programming

liftLRD (version 1.0-9)

bootci: bootstrap confidence interval calculation

Description

This function uses the Hurst exponent estimates from different lifting trajectories to form a bootstrap confidence interval

Usage

bootci(x, level = 0.05)

Value

A vector of length 2, indicating the lower and upper confidence interval values.

Arguments

x

a vector of estimates for the Hurst exponent.

level

the significance level for which to compute the bootstrap confidence interval.

Author

Matt Nunes

References

Knight, M. I, Nason, G. P. and Nunes, M. A. (2017) A wavelet lifting approach to long-memory estimation. Stat. Comput. 27 (6), 1453--1471. DOI 10.1007/s11222-016-9698-2.

See Also

liftHurst

Examples

Run this code

x<-rnorm(100,0.7,0.24)	# vector representing Hurst estimates from NLT

bootci(x)

Run the code above in your browser using DataLab