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technique Autocorrelator Cochrane–Orcutt
estimation (transformation for
autocorrelated error terms)
Correlation function Correlogram Cross-correlation CUSUM...
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positively autocorrelated. If d > d U , α {\textstyle d>d_{U,\alpha }} ,
there is no
statistical evidence that the
error terms are
positively autocorrelated. If...
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samples from the distribution, and
these are free from the
problem of
autocorrelated samples that is
inherent in MCMC methods. The
algorithm is
named in...
- However, real-world data
often does not meet this requirement; it is
autocorrelated (also
known as
serial correlation). As one example, the
successive readings...
- in
which the
hypothesized rate of
molecular evolution varies in an
autocorrelated manner Concomitant disease in pregnancy, a pre-existing
disease that...
-
Carlo integration are
statistically independent,
those used in MCMC are
autocorrelated.
Correlations of
samples introduces the need to use the
Markov chain...
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genetic drift. The
direction of the
random change in
allele frequency is
autocorrelated across generations. The Hardy–Weinberg
principle states that within...
- the
exact formulas for any
sample size, and can be
applied to
heavily autocorrelated time
series like Wall
Street stock quotes. Moreover, this
formula works...
-
attempts to
determine if
observations of the same
variable are
spatially autocorrelated globally (rather than at the
neighborhood level).
Spatial autocorrelation...
- at
individual codons in a set of
nucleotide sequences to vary in an
autocorrelated manner.
Under the
covarion model, the
rates of
evolution on different...
