We present a method for sequential estimation of the state of infestation of an agricultural crop by a pest arthropod. The method, which is based on Bayesian statistical theory, establishes stopping ...

Sampling from complex probability distributions is important in many fields, including statistical modeling, machine learning, and physics. This involves generating representative data points from a ...

If you specify the option METHOD=SEQ and do not include a SIZE statement, PROC SURVEYSELECT uses the equal probability version of Chromy's method for sequential random sampling. This method selects ...

Abstract: This paper describes a new sequential sampling algorithm for efficient and accurate scalable macromodeling of parameterized frequency responses of high-speed systems. The proposed algorithm ...

This project provides a Python-based implementation of a Sequential Sampling method to calculate the minimum required sample size for A/B testing experiments, using likelihood-ratio-based stopping ...

We describe a new sequential sampling method for constrained multi-way tables, with foundations in linear programming and sequential normal sampling. The method builds on techniques from other ...

If you specify the option METHOD=PPS_SEQ, PROC SURVEYSELECT uses Chromy's method of sequential random sampling. Refer to Chromy (1979) and Williams and Chromy (1980). Chromy's method selects units ...

Abstract: Sequential inspection is a technique employed to monitor product quality during the production process. For smaller batch sizes, the Acceptable Quality Limit (AQL) inspection theory is ...

This repository contains the implementation of a sequential active sampling approach for MRI diagnosis. The project focuses on optimizing MRI acquisition by intelligently selecting the most ...