Sentence examples for series variance from inspiring English sources

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We also suppose that each time series variance is time-variant.

For example, (2.2) has a strong correlation (0.96) with the reliability measure based on time series variance presented in [4].

Uncertainty can be propagated analytically, by application of Taylor series variance propagation, or numerically, through repeated Monte-Carlo simulations.

The comparison of the models is based on their ability to reproduce some important statistical characteristics of the observed time series: variance, skewness coefficient, wet/dry properties of 10-min rainfall amounts; rainfall amounts quantiles for different return periods; autocorrelation of 10-min rainfall amounts.

The extracted fMRI time series, variance normalized, was used as a regressor in a GLM for the awake, unconscious, and recovery data.

Application of time-series to an exemplar complete ICU series (1995- end)2009) was via Box-Jenkins methodology: autoregressive moving average (ARMA) and (G)ARCH ((Generalised) Autoregressive Conditional Heteroscedasticity) models, the latter addressing volatility of the series variance.

Similar(53)

In fact, the spread of the data points in the direction perpendicular to the diagonal of the Poincaré plot is a measure of the time series' local variance ("short term variability").

The situations where we would not standardize both series to variance = 1 is when our interest is the comparison of the variability (variances or the power in specified frequency bands) between the series.

We separate the third explanation from the first and second by controlling for major occupation group effects from both spouses, i.e., indicators such as 1[husband's occupation is "Construction Trades"], and measures of both spouses' detailed occupations' time series earnings variance, as well as the covariance of earnings for their occupation pair.

The clustering effect was taken into account by applying the Taylor series linearization variance estimation for complex survey data using svy: commands in the STATA 11 software (STATA Corp ,College Station, TX).

The 4 sessions were treated as separate time series, and variance in BOLD signal was decomposed in a general linear model (GLM) (Friston et al. 1995).

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