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Sampling Plan for Big Data

In: Testing and Inspection Using Acceptance Sampling Plans

Author

Listed:
  • Muhammad Aslam

    (King Abdulaziz University, Department of Statistics, Faculty of Science)

  • Mir Masoom Ali

    (Ball State University, Department of Mathematical Sciences)

Abstract

In previous chapters, the various sampling plans discussed were for small data obtained from the industry. In this modern era of big data, there are several situations where the data is obtained for the inspection or lot sentencing of the product from a huge data set. The study of big data has been becoming popular day by day, especially for the inspection of marine data, rail inspection data, ocean data and cloud data. For the inspection of big data from these important fields, the traditional sampling plans can be applied to lot sentencing or to the inspection of the data. In this chapter, we will focus on introducing the sampling plans for the inspection of big data. So, in this chapter an attempt is made to briefly focus on the introduction of big data, application of big data in quality control, inspection for big data, sampling plans for big data and application of sampling plan for big data using some important published work in this field.

Suggested Citation

  • Muhammad Aslam & Mir Masoom Ali, 2019. "Sampling Plan for Big Data," Springer Books, in: Testing and Inspection Using Acceptance Sampling Plans, chapter 0, pages 231-237, Springer.
    • Handle: RePEc:spr:sprchp:978-981-13-9306-8_8
    DOI: 10.1007/978-981-13-9306-8_8
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