Optimal sampling system on populations of collectives
First Claim
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1. A method of generating a sampling plan on populations of collectives, the method causing a computing device to perform steps comprising:
- based on an analysis of at least one of historical data and user-defined data, generating a sampling plan by determining an optimal number n of collectives to sample from a population of collectives and an optimal number m of members to sample from the n collectives;
randomly sampling n collectives from a population of collectives taking into account within-collective sampling error and between-collective sampling error; and
randomly sampling m members from each randomly sampled n collective.
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Abstract
A system and method for generating and implementing a sampling plan on populations of collectives involve implementing a 2-stage sampling process. Based on an analysis of at least one of historical data and user-defined data, the system generates a sampling plan by determining the number n of collectives to sample from a population of collectives and an optimal number m of members to sample from each collective of the n sampled collectives. The system then in two stages randomly samples n collectives and then randomly samples m members from each randomly sampled collectives.
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Citations
9 Claims
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1. A method of generating a sampling plan on populations of collectives, the method causing a computing device to perform steps comprising:
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based on an analysis of at least one of historical data and user-defined data, generating a sampling plan by determining an optimal number n of collectives to sample from a population of collectives and an optimal number m of members to sample from the n collectives; randomly sampling n collectives from a population of collectives taking into account within-collective sampling error and between-collective sampling error; and randomly sampling m members from each randomly sampled n collective. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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Specification