The Performance of Variable Sampling Plans When the Normal Distribution is Truncated

Abstract

The robustness of standard variable sampling plans due to Lieberman and Resnikoff is considered with respect to truncation of the normal distribution. It is shown how variable sampling plans can be designed if the truncation point and the normal population standard deviation σ are known. The case where σ is unknown is also discussed.

• Robustness
• Truncated Normal Distribution
• Variables Sampling Plans

Additional information

Notes on contributors

Helmut Schneider

Dr. Schneider is a Visiting Assistant Professor in the Department of Mathematical Sciences.