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Restricted Adaptive Probability-Based Latin Hypercube Design

Abstract Number:

2543 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Speed 

Participants:

HUIJUAN LI (1)

Institutions:

(1) N/A, N/A

First Author:

HUIJUAN LI  
N/A

Presenting Author:

HUIJUAN LI  
N/A

Abstract Text:

The complexity of environmental sampling comes from the combination of varied inclusion probabilities, irregular sampling region, spatial-filling requirements and sampling cost constraints. This article proposes a restricted adaptive probability-based latin hypercube design for environmental sampling. Meriting from a first stage pilot design, the approach largely reduces the computation burden under traditional adaptive sampling without network replacement, while still achieves the same effective control on the final sample size. Under the restricted adaptive probability-based latin hypercube design, Thompson-Horvitz and Hansen-Hurwitz type estimators are biased. A modified Murthy-type unbiased estimator with Rao-Blackwell improvements are thus proposed. The proposed approach is shown to have better performances than several well-known sampling methodologies.

Keywords:

Adaptive sampling|Environmental sampling|Latin Hypercube Design|Rao-Blackwell| |

Sponsors:

Section on Statistics and the Environment

Tracks:

Environmental and Ecological Sampling

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I have read and understand that JSM participants must abide by the Participant Guidelines.

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I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.

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