The importance of using a test of weak-form market efficiency that does not require investigating the data first von Aumeboonsuke, Vesarach, Dryver, Arthur L.

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Adaptive cluster sampling for negatively correlated data von Gattone, Stefano A., Mohamed, Esha, Dryver, Arthur L., Münnich, Ralf T.

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Partial systematic adaptive cluster sampling von Dryver, Arthur L., Netharn, Urairat, Smith, David R.

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Leveraging Random Number Generation for Mastery of Learning in Teaching Quantitative Research Courses via an E-Learning Method von Boonsathorn, Wasita, Charoen, Danuvasin, Dryver, Arthur L.

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A New Sampling Design for a Spatial Population: Path Sampling von Patummasut, Mena, L. Dryver, Arthur

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Ratio estimators in adaptive cluster sampling von Dryver, Arthur L., Chao, Chang-Tai

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Leveraging the Rao–Blackwell theorem to improve ratio estimators in adaptive cluster sampling von Chao, Chang-Tai, Dryver, Arthur L, Chiang, Tzu-Ching

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Improved unbiased estimators in adaptive cluster sampling von Dryver, Arthur L., Thompson, Steven K.

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Performance of adaptive cluster sampling estimators in a multivariate setting von Dryver, Arthur L

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Adaptive sampling without replacement of clusters von Dryver, Arthur L., Thompson, Steven K.

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