Description Usage Arguments Value
View source: R/autocorrelation_bound_functions.R
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
1 | B_iid_bound(f_data, alpha = 0.05)
|
f_data |
the functional data matrix with observed functions in the columns |
alpha |
the significance level to be used in the hypothesis test |
Numeric value; the 1-alpha confidence bound for the functional autocorrelation coefficient at lag h under a strong white noise assumption.
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