Statistical analysis of spatial point patterns on deep seismic reflection data: a preliminary test
نویسندگان
چکیده
منابع مشابه
Statistical Analysis of Spatial Point Patterns on Deep Seismic Reflection Data: A Preliminary Test
1 Department of Geoscience, University of Calgary, Calgary, Alberta, Canada T3B 4Y3 ( [email protected]; [email protected]) 2 Institute of Stochastics, Ulm University, Helmholtzstrasse 18, D-89069, Ulm, Germany ([email protected]; [email protected]) 3 Boehringer Ingelheim Pharma GmbH & Co. KG, Medical Data Services/Biostatistics, 88397 Biberach a. d. R., Germany (frank.fleisc...
متن کاملA statistical test for outlier identification in data envelopment analysis
In the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. In these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. This paper deals with the statistical pared sample method and its capability of detecting outliers in data envelopment analysis. In the prese...
متن کاملa statistical test for outlier identification in data envelopment analysis
in the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. in these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. this paper deals with the statistical pared sample method and its capability of detecting outliers in data envelopment analysis. in the prese...
متن کاملanalysis of spatial point patterns by kernel identification
in the analysis of spatial point patterns, complete spatial randomness (csr) hypothesis,which is a restriction of a homogenous poisson process to study region a, operates as a dividinghypothesis between “regular” and “aggregated” patterns. meanwhile, many alternatives to csr inaggregated patterns are extensions of homogenous poisson processes themselves. therefore, when thecsr hypothesis is rej...
متن کاملStatistical Comparison of Spatial Point Patterns in Biological Imaging
In biological systems, functions and spatial organizations are closely related. Spatial data in biology frequently consist of, or can be assimilated to, sets of points. An important goal in the quantitative analysis of such data is the evaluation and localization of differences in spatial distributions between groups. Because of experimental replications, achieving this goal requires comparing ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geophysical Journal International
سال: 2007
ISSN: 0956-540X,1365-246X
DOI: 10.1111/j.1365-246x.2007.03572.x