scholarly journals Optimum Allocation in Multivariate Double Sampling for Biomass Estimation

1982 ◽  
Vol 35 (6) ◽  
pp. 777 ◽  
Author(s):  
Javed Ahmed ◽  
Charles D. Bonham
Keyword(s):  
Optimum Allocation ◽  
Biomass Estimation ◽  
Double Sampling

scholarly journals Improving Woody Biomass Estimation Efficiency Using Double Sampling

Forests ◽  
2012 ◽  
Vol 3 (2) ◽  
pp. 179-189
Author(s):  
David L. Parrott ◽  
John M. Lhotka ◽  
Songlin Fei ◽  
B. Scott Shouse
Keyword(s):  
Woody Biomass ◽  
Biomass Estimation ◽  
Double Sampling ◽  
Estimation Efficiency

scholarly journals STOCHASTIC OPTIMIZATION IN MULTIVARIATE STRATIFIED DOUBLE SAMPLING DESIGN

2020 ◽  
Vol 5 (1) ◽  
pp. 115-122
Author(s):  
Ziaul Bakhshi
Keyword(s):  
Stochastic Optimization ◽  
Objective Function ◽  
Sample Size ◽  
Sampling Design ◽  
Computational Procedure ◽  
Optimum Allocation ◽  
Double Sampling ◽  
Numerical Example

This paper deals with optimum allocation of sample size in stratified double sampling when costs are considered as random in the objective function. When costs function are random, by applying modified E. model, objective function is converted into an equivalent deterministic form. A Numerical example is presented to illustrate the computational procedure and the problem is solved by using LINGO Software.

Hybrid maize breeding with doubled haploids: Comparison between selection criteria

2006 ◽  
Vol 54 (3) ◽  
pp. 343-350 ◽  
Author(s):  
C. F. H. Longin ◽  
H. F. Utz ◽  
A. E. Melchinger ◽  
J.C. Reif
Keyword(s):  
Selection Criteria ◽  
Doubled Haploids ◽  
Optimum Allocation ◽  
Finite Sample ◽  
Sample Sizes ◽  
Maize Breeding ◽  
Selection Gain ◽  
Breeding Programmes ◽  
Hybrid Maize ◽  
Breeding Resources

The optimum allocation of breeding resources is crucial for the efficiency of breeding programmes. The objectives were to (i) compare selection gain ΔGk for finite and infinite sample sizes, (ii) compare ΔGk and the probability of identifying superior hybrids (Pk), and (iii) determine the optimum allocation of the number of hybrids and test locations in hybrid maize breeding using doubled haploids. Infinite compared to finite sample sizes led to almost identical optimum allocation of test resources, but to an inflation of ΔGk. This inflation decreased as the budget and the number of finally selected hybrids increased. A reasonable Pk was reached for hybrids belonging to the q = 1% best of the population. The optimum allocations for Pk(q) and ΔGkwere similar, indicating that Pk(q) is promising for optimizing breeding programmes.

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