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Counting Conditional Inference

Posted on:2001-06-23Degree:MasterType:Thesis
Country:ChinaCandidate:W M MiFull Text:PDF
GTID:2120360002452430Subject:Probability theory and mathematical statistics
Abstract/Summary:
Counting conditional inference is very important in practice. This article talksabout the following problem: put a fixed number of samples under test, only findk products failed among m ones. The question is how to know whether there arebad ones in the left product. In order to do conclusion the useful method is tosample and deduce. This article consists of four chapters. In the first chapter, theimportance and basic knowledge of conditional inference are argued. The secondchapter is mainly about three kind sampling plans: sampling of one time, samplingof two times, sequential sampling. The third part: method and conclusion aremade which contains hypothesis and test, sampling plans. In the last part thecomputer results and analysis are listed for users to refer.
Keywords/Search Tags:failing rate, confidence level, sample size, criterion.
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