autocorrelation


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autocorrelation

(ˌɔːtəʊˌkɒrɪˈleɪʃən)
n
(Statistics) the condition occurring when successive items in a series are correlated so that their covariance is not zero and they are not independent. Also called: serial correlation
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Geographically weighted regression was necessary to create best-fitting models due to spatial autocorrelation and nonstationarity.
In addition, as the time interval becomes smaller, the presence of autocorrelation in the data increases, which impacts savings uncertainty and necessitates its assessment.
Both Envelope Spectral and Autocorrelation techniques rely heavily on the identification of high frequency structural resonances which modulate the impulses generated by bearing elements striking the faults.
In addition, we explore whether the spatial autocorrelation (Koenig and Knops, 1998; Overmars et al.
The description includes methods based on calculating the correlation coefficient between autocorrelation of a binary sequence received and a pattern sequence as well as methods used for filtering the presence of binary patterns.
On a complementary level, a spatial autocorrelation study is carried out in order determine whether or not the geographical proximity of countries has any bearing on similar fiscal effort.
The global Moran's I index was used to estimate the strength of the global spatial autocorrelation of average leprosy case detection rate in this study.
It determines the state interval; it partitions the raw data of the PV power plant output power by a number of parallel lines using predict curve as the center of symmetry; it models the Markov Chain, and calculates the coefficients and weights of each order autocorrelation, completes the weighted Markov chain forecast modeling, realizes the interval forecast of the PV power plant output power.
Objectives: To determine and map the spatial nature of infant mortality in Punjab, at district level and model fit spatial autocorrelation.
2010) spatial autocorrelation occupancy model explicitly accounts for dependence in availability for detection between adjacent observations, allowing transect surveys to be split into segments which are then used as replicated surveys.
The nine contributions that make up the main body of the text are devoted to time series; state-space reconstruction; the Lyapunov Exponent; surrogation; entropy; fractals; autocorrelation functions, mutual information, and correlation dimensions; and a variety of specific case studies in the field.
To avoid this problem, I "prewhitened" each time series as appropriate by removing autocorrelation and quantified the flow-productivity relationship using the adjusted series.