کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
507707 | 865140 | 2011 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Plotting and checking the bivariate distributions of multiple Gaussian data Plotting and checking the bivariate distributions of multiple Gaussian data](/preview/png/507707.png)
The geostatistical modeling of continuous variables relies heavily on the multivariate Gaussian distribution. It is remarkably tractable. The multivariate Gaussian distribution is adopted for K multiple variables (often K is between 2 and 10) and for N multiple locations (often N is in the tens of millions). Our focus is on the relationship between the K variables. Each variable is transformed to be univariate Gaussian, but the multivariate nature of the data is not necessarily Gaussian after univariate transformation. If multiple data variables are deemed non-Gaussian, then additional steps need to be taken such as linearization by alternating conditional expectation (ACE) or multivariate transformation by the stepwise conditional transformation (SCT). Although all L-variate distributions (1
Journal: Computers & Geosciences - Volume 37, Issue 10, October 2011, Pages 1677–1684