Friday, September 16, 2016

Adjustment Computations Spatial Data Analysis

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[26] The spatial median is unique when the data-set's dimension is two or more. [12] [13] [26] Gustav Fechner popularized the median into the formal analysis of data, although it had been used previously by Laplace. Seasonal adjustment; Exponential smoothing; Cointegration ... Read Article

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A stationary process (or strict(ly) Stationarity is used as a tool in time series analysis, where the raw data is often transformed to become stationary; where higher n-point statistics are assumed to be stationary in the spatial domain. ... Read Article

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Least squares adjustment is a model for the solution of an overdetermined system of equations based on the principle of least Parametric adjustment is similar to most of regression analysis and coincides with the Gauss "Adjustment Computations: Spatial Data Analysis", John Wiley ... Read Article

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