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Stratified sampling of spherical triangles

open access: yesProceedings of the 22nd annual conference on Computer graphics and interactive techniques - SIGGRAPH '95, 1995
We present an algorithm for generating uniformly distributed random samples from arbitrary spherical triangles. The algorithm is based on a transformation of the unit square and easily accommodates stratified sampling, an effective means of reducing variance. With the new algorithm it is straightforward to perform stratified sampling of the solid angle
James Arvo
openaire   +3 more sources

Stratified Sampling

2019
AbstractIn stratified sampling, the N population units are grouped into L strata, independent samples are selected from within each stratum, and unbiased estimation is achieved as a weighted average of stratum-specific estimates. Strata may be natural—pool, riffle, and run habitat unit types in a small stream—or strata may be constructed to ensure that
David G. Hankin   +2 more
  +4 more sources

Nested stratified sampling

Model Assisted Statistics and Applications, 2008
This paper deals with the problem of estimation of finite population total under nested stratified sampling plan. Allocation of sample sizes to different primary and secondary strata are obtained for fixed cost and fixed precision. The proposed plan under different types of allocation is compared with usual stratification.
Baidya Nath Mandal   +3 more
openaire   +2 more sources

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