B_iid_bound: Compute strong white noise confidence bound for...

Description Usage Arguments Value

View source: R/autocorrelation_bound_functions.R

Description

B_iid_bound Computes an approximate asymptotic upper 1-alpha confidence bound for the functional autocorrelation coefficient at lag h under the assumption that f_data forms a strong white noise

Usage

1
B_iid_bound(f_data, alpha = 0.05)

Arguments

f_data

the functional data matrix with observed functions in the columns

alpha

the significance level to be used in the hypothesis test

Value

Numeric value; the 1-alpha confidence bound for the functional autocorrelation coefficient at lag h under a strong white noise assumption.


wwntests documentation built on July 2, 2020, 2:57 a.m.