whitenoise.test: Univariate Test for White Noise

Description Usage Arguments Details Value Author(s) References

View source: R/whitenoise.test.R

Description

Performs an Univariate Test for White Noise. The null is white noise rather than "strict" white noise, thus permitting weak dependence in the higher moments of the variable.

Usage

1

Arguments

x

the input is a vector of length n (observations) or a n by 1 matrix

Details

A von Mises-type statistic is computed to be valued against a N(0,4) distribution. Finite sample test statistics are thus easily generated.

Value

A list with class htest containing the following components:

n

no. of observations

T

length of periodogram used

MN

von Mises statistic

tMN

test statistic

test value

p-value for the test

Author(s)

Peter Wickham

References

Lobato, I., and C. Velasco (2004). "A Simple and General Test for White Noise", Econometric Society, Latin-America Meetings, Paper No. 112.


normwhn.test documentation built on May 2, 2019, 10:59 a.m.