littlevar | R Documentation |
Computes a variance estimate for hwtos2
Merely takes a wavelet periodogram (actually wd
class
object), and a level argument. Then extracts the wavelet periodogram
coefficients at that level and returns twice the mean of their
squares.
littlevar(WP, ll)
WP |
The wavelet periodogram that you wish to analyze (actually
a |
ll |
A valid level for the periodogram |
Twice the mean of the square of the coefficients at the level extracted.
Guy Nason.
Nason, G.P. (2013) A test for second-order stationarity and approximate confidence intervals for localized autocovariances for locally stationary time series. J. R. Statist. Soc. B, 75, 879-904. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/rssb.12015")}
hwtos2
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