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Adaptive allocations in stratified sampling design are suitable for studying Biological and Environmental populations.
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Several adaptive allocation designs are available in the clinical trial literature for allocating the entering patients among two competing treatments, having binary responses and skewing the allocation in favor of the better treatment.
Adaptive allocation designs are used in phase III clinical trials.
We propose adaptive allocation technology (AAT) and design an adaptive SCMA system.
In this section, the considered and/or studied adaptive allocation strategies are described.
In addition, the interval time to periodically process our adaptive allocation algorithm is 10 s.
This study has provided a theoretical framework for adaptive allocation, dynamic allocation and multi-objective optimization for a complex adaptive system of water resources management.
Biologists tend to use the conventional stratified estimator for an adaptive allocation sampling design in spite of its adaptive nature.
In [9], an adaptive allocation of virtual radio resources in heterogeneous networks is analysed, sharing spectrum among VNOs.
Link-tracing designs such as snowball sampling, random walk methods, and network sampling are described, along with adaptive allocation and adaptive cluster sampling.
Then, a control allocation algorithm is developed, which includes a fixed allocation law and an adaptive allocation law to compensate for actuator faults, uncertainties and actuator saturations.
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