A DOUBLE SAMPLING PLAN BY ATTRIBUTES FOR THE ZERO-INFLATED NEGATIVE BINOMIAL DISTRIBUTION IN THE FOOD INDUSTRY

A DOUBLE SAMPLING PLAN BY ATTRIBUTES FOR THE ZERO-INFLATED NEGATIVE BINOMIAL DISTRIBUTION IN THE FOOD INDUSTRY

Microbiological testing is an important task in the food industry. Pathogenic microorganism contaminates the food material as clusters or group of individuals cells. The bacteria follows a zero-inflated Negative Binomial (ZINB) distribution in the entire food material. A double sampling plan (DSP) i...

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Main Author: HERWANTORO - NIM: 23415058 , EKO
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/21904
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:21904
spelling id-itb.:219042017-09-28T15:15:14ZA DOUBLE SAMPLING PLAN BY ATTRIBUTES FOR THE ZERO-INFLATED NEGATIVE BINOMIAL DISTRIBUTION IN THE FOOD INDUSTRY HERWANTORO - NIM: 23415058 , EKO Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/21904 Microbiological testing is an important task in the food industry. Pathogenic microorganism contaminates the food material as clusters or group of individuals cells. The bacteria follows a zero-inflated Negative Binomial (ZINB) distribution in the entire food material. A double sampling plan (DSP) is developed for an ZINB distribution. We also provide R-code to determine the plan parameters such as the number of sample size, the acceptance number, and the rejection number on the first stage (n1, c1, and r1), and the number of the sample size and the acceptance number on the second stage (n2 and c2). Under given value of (acceptable quality level (AQL), lot tolerance percent defects (LTPD) two risk &#945; and &#946;. Simulated data with various of parameters (&#120593;,&#119901;1,&#120572;,&#119901;2,&#120573;) are used to illustrate the applications. <br /> <br /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Microbiological testing is an important task in the food industry. Pathogenic microorganism contaminates the food material as clusters or group of individuals cells. The bacteria follows a zero-inflated Negative Binomial (ZINB) distribution in the entire food material. A double sampling plan (DSP) is developed for an ZINB distribution. We also provide R-code to determine the plan parameters such as the number of sample size, the acceptance number, and the rejection number on the first stage (n1, c1, and r1), and the number of the sample size and the acceptance number on the second stage (n2 and c2). Under given value of (acceptable quality level (AQL), lot tolerance percent defects (LTPD) two risk &#945; and &#946;. Simulated data with various of parameters (&#120593;,&#119901;1,&#120572;,&#119901;2,&#120573;) are used to illustrate the applications. <br /> <br />
format Theses
author HERWANTORO - NIM: 23415058 , EKO
spellingShingle HERWANTORO - NIM: 23415058 , EKO
A DOUBLE SAMPLING PLAN BY ATTRIBUTES FOR THE ZERO-INFLATED NEGATIVE BINOMIAL DISTRIBUTION IN THE FOOD INDUSTRY
author_facet HERWANTORO - NIM: 23415058 , EKO
author_sort HERWANTORO - NIM: 23415058 , EKO
title A DOUBLE SAMPLING PLAN BY ATTRIBUTES FOR THE ZERO-INFLATED NEGATIVE BINOMIAL DISTRIBUTION IN THE FOOD INDUSTRY
title_short A DOUBLE SAMPLING PLAN BY ATTRIBUTES FOR THE ZERO-INFLATED NEGATIVE BINOMIAL DISTRIBUTION IN THE FOOD INDUSTRY
title_full A DOUBLE SAMPLING PLAN BY ATTRIBUTES FOR THE ZERO-INFLATED NEGATIVE BINOMIAL DISTRIBUTION IN THE FOOD INDUSTRY
title_fullStr A DOUBLE SAMPLING PLAN BY ATTRIBUTES FOR THE ZERO-INFLATED NEGATIVE BINOMIAL DISTRIBUTION IN THE FOOD INDUSTRY
title_full_unstemmed A DOUBLE SAMPLING PLAN BY ATTRIBUTES FOR THE ZERO-INFLATED NEGATIVE BINOMIAL DISTRIBUTION IN THE FOOD INDUSTRY
title_sort double sampling plan by attributes for the zero-inflated negative binomial distribution in the food industry
url https://digilib.itb.ac.id/gdl/view/21904
_version_ 1821120606219796480

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