Title: Optimum Sample Sizes for Concrete Cylinder Tests Using Information Theory

Author(s): Fred Webster

Publication: Journal Proceedings

Volume: 68

Issue: 5

Appears on pages(s): 373-379

Keywords: Bayes’ theorem; compressive strength; concretes; information theory: optimization: probability theory; quality control; sampling; tests.

DOI: 10.14359/11337

Date: 5/1/1971

Abstract:
Information theory and Bayesian decision statistics are used in conjunction with a simple loss function to study the optimum size for concrete cytinder testing. Results are presented in figures of optimum sample size versus replacement costs and in tables of probabilities associated with different optimum sample sires.