A DOUBLE SAMPLING PLAN FOR THE ZERO-INFLATED POISSON DISTRIBUTION IN THE FOOD INDUSTRY
Implementing appropriate sampling plan is an important task to protect consumers <br /> <br /> <br /> <br /> from pathogenic microorganisms in the food industry. In this study, we develop a <br /> <br /> <br /> <br /> double s...
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| المؤلف الرئيسي: | |
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| التنسيق: | Theses |
| اللغة: | Indonesia |
| الوصول للمادة أونلاين: | https://digilib.itb.ac.id/gdl/view/20654 |
| الوسوم: |
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| المؤسسة: | Institut Teknologi Bandung |
| اللغة: | Indonesia |
| الملخص: | Implementing appropriate sampling plan is an important task to protect consumers <br />
<br />
<br />
<br />
from pathogenic microorganisms in the food industry. In this study, we develop a <br />
<br />
<br />
<br />
double sampling plan (DSP) for the zero-inflated Poisson distribution as an <br />
<br />
<br />
<br />
alternative sampling plan. This research provides R-code to determine the plan <br />
<br />
<br />
<br />
parameters such as the number of sample size, the acceptance number, and the <br />
<br />
<br />
<br />
), and the number of the sample 숵ݎ, and 숵ܿ,숵셊rejection number on the first stage ( <br />
<br />
<br />
<br />
). 숶ܿand 숶셊size and the acceptance number on the second stage ( <br />
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The DSP performs better than the single sampling plan (SSP) in terms of average <br />
<br />
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sample number (ASN) and total risk with the same level quality, acceptable quality <br />
<br />
<br />
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level (AQL) and lot of tolerance percent defective (LTPD). Simulated data with <br />
<br />
<br />
<br />
) are , ߚ 숶݌, 쇙, 숵셌) and specified values ( 쇮various set of given mixing proportion ( <br />
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<br />
<br />
used to illustrate the applications. <br />
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