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technique Autocorrelator Cochrane–Orcutt
estimation (transformation for
autocorrelated error terms)
Correlation function Correlogram Cross-correlation CUSUM...
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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...
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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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Carlo integration are
statistically independent,
those used in MCMC are
autocorrelated.
Correlations of
samples introduces the need to use the
Markov chain...
- 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...
- {\displaystyle \sigma _{f}^{2}=0} only if the
variate is
perfectly autocorrelated ( ρ A = 1 {\displaystyle \rho _{A}=1} ). If A is uncorrelated, ρ A =...
- However, real-world data
often does not meet this requirement; it is
autocorrelated (also
known as
serial correlation). As one example, the
successive readings...
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series model Quality characteristic measurement within one
subgroup Autocorrelated Attributes or
variables N/A
Regression control chart Quality characteristic...
- in
which the
hypothesized rate of
molecular evolution varies in an
autocorrelated manner Concomitant disease in pregnancy, a pre-existing
disease that...
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after testing and retesting, some of the
dimensions were
found to be
autocorrelated and the
total number of
dimensions was
reduced to five,
namely - reliability...
