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Tokyo Gas Company, Ltd., Fundamental Technology Research Laboratory, 1-16-25 Shibaura, Minato-ku, Tokyo 105, Japan Application of extreme value .statistics to the problem of Type 1! pits growth prediction on hot-water-supply copper tubing is described. A recommendation is suggested for optimum combinations of the number and the size of unit samples required for reasonable extreme value predictions. Key words; central hot-water-supply; copper tube; extreme value statistical analysis; maximum pit depth prediction; pitting corrosion.

On the requirements for a reasonable extreme-value prediction of maximum pits on hot-water-supply copper tubing