Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...

People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous research has ...

Abstract: Green area index (GAI) serves as an important link in the analysis of the relationship between solar energy radiation and crop grain yield. Voxel-based approach from terrestrial laser ...

The AccSamplingDesign package provides tools for designing acceptance sampling plans for both attribute and variable data. Key features include: p1 = 0.005 p2 = 0.03 alpha = 0.05 beta = 0.1 # known ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

As genetic studies grow, researchers are increasingly seeking to identify rare genetic variants with large impacts on traits. In this paper, we combine theoretical methods and data analysis to show ...

About the Role: The Survey Statistician position will focus on modernizing variance estimation approaches for Nielsens cutting edge panel + big data measurement solutions. Make an immediate impact ...

This technical paper investigates the influence of sample size and geologic characteristics on the geotechnical design of levee embankments. Sample quality plays a vital role in quantifying ...

This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling ...