Unequal probability sampling in fixed area plots of stem volume with and without prior inclusion probabilities

2000 ◽  
Vol 27 (8) ◽  
pp. 975-990 ◽  
Author(s):  
Steen Magnussen
Keyword(s):  
Stem Volume ◽  
Probability Sampling ◽  
Unequal Probability Sampling ◽  
Unequal Probability ◽  
Inclusion Probabilities ◽  
Fixed Area

scholarly journals Size constrained unequal probability sampling with a non-integer sum of inclusion probabilities

2012 ◽  
Vol 6 (0) ◽  
pp. 1477-1489 ◽  
Author(s):  
Anton Grafström ◽  
Lionel Qualité ◽  
Yves Tillé ◽  
Alina Matei
Keyword(s):  
Probability Sampling ◽  
Unequal Probability Sampling ◽  
Unequal Probability ◽  
Inclusion Probabilities

Evaluation of sampling alternatives to quantify tree leaf area

2003 ◽  
Vol 33 (1) ◽  
pp. 82-95 ◽  
Author(s):  
H Temesgen
Keyword(s):  
Leaf Area ◽  
Poor Performance ◽  
Tree Crown ◽  
Two Stage ◽  
Zero Bias ◽  
Probability Sampling ◽  
First Order ◽  
Unequal Probability Sampling ◽  
Unequal Probability ◽  
Tree Leaf

High within- and among-tree crown variation have contributed to the difficulty of tree-crown sampling and single-tree leaf area (area available for photosynthesis) estimation. Using reconstructed trees, simulations were used to compare five sampling designs for bias, mean square error (MSE), and distribution of the estimates. All sampling designs showed nearly zero bias. For most sample trees, stratified random sampling resulted in the lowest MSE values, followed by ellipsoidal, two-stage systematic, simple random, and then by two-stage unequal probability sampling. The poor performance of two-stage unequal probability sampling can be ascribed to the unequal probability of inclusion of first-order branches and twigs.

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