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Abstract:
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Sequential inference methods have the potential to greatly reduce the time and costs associated with decision making processes. As a result, they are applied to a variety of different fields such as Entomology, where the average pest density is the parameter of interest, and to the study of clinical trials. The mathematics associated with designing and utilizing sequential procedures can often discourage practitioners from implementing them in the field. We have developed a software tool that facilitates an easier use of the methods, and enables a convenient platform for carrying out sequential inference. The tool hides the complex mathematics of sequential designs, and provides a user-friendly interface to implement a sequential sampling scheme, understand its important statistical properties, and implement the scheme on real data.
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