Statistical Inference from Start-Up Demonstration Test Data

Abstract

New results on start-up demonstration tests are obtained. In particular, the average length of a demonstration test is derived and inferences based on demonstration test data for the probability p of a successful start-up are discussed. Practical recommendations regarding the planning of a demonstration test are made. An extension of this test is also introduced that accommodates correlation in consecutive start-ups. The procedures developed are examined through Monte Carlo simulations and illustrated with a detailed example.

• Confidence Interval
• Markov Dependence
• Maximum
• Likelihood Estimation
• Minimum Sample Size
• Moment Estimation
• Monte Carlo Simulation
• Success Probability
• Test Length

Additional information

Notes on contributors

Roman Viveros

Dr. Viveros is an Assistant Professor. He is a Member of ASQC.

N. Balakrishnan

Dr. Balakrishnan is an Associate Professor. He is a Member of ASQC.