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.