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010   $a981-13-9306-0
024 7 $a10.1007/978-981-13-9306-8
035   $a(CKB)4100000008876965
035   $a(MiAaPQ)EBC5835438
035   $a(DE-He213)978-981-13-9306-8
035   $a(PPN)238487008
035   $a(EXLCZ)994100000008876965
100   $a20190719d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aTesting and Inspection Using Acceptance Sampling Plans /$fby Muhammad Aslam, Mir Masoom Ali
205   $a1st ed. 2019.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019.
215   $a1 online resource (298 pages)
311   $a981-13-9305-2 
327   $a1 Introduction and genesis -- 2 Some life distributions -- 3 Acceptance sampling from truncated life tests -- 4 Acceptance sampling based on life tests from some specific distributions -- 5 Some group acceptance sampling based on life tests from specific distributions -- 6 Skip Sampling Plans -- 7 Sampling Plans using Process Capability index (PCI) -- 8 Sampling plan for Big Data -- 9. Miscellaneous acceptance sampling plans.
330   $aThis book introduces a number of new sampling plans, such as time truncated life tests, skip sampling plans, resubmitted plans, mixed sampling plans, sampling plans based on the process capability index and plans for big data, which can be used for testing and inspecting products, from the raw-materials stage to the final product, in every industry using statistical process control techniques. It also presents the statistical theory, methodology and applications of acceptance sampling from truncated life tests. Further, it discusses the latest reliability, quality and risk analysis methods based on acceptance sampling from truncated life, which engineering and statisticians require in order to make decisions, and which are also useful for researchers in the areas of quality control, lifetime analysis, censored data analysis, goodness-of-fit and statistical software applications. In its nine chapters, the book addresses a wide range of testing/inspection sampling schemes for discrete and continuous data collected in various production processes. It includes a chapter on sampling plans for big data and offers several illustrative examples of the procedures presented. Requiring a basic knowledge of probability distributions, inference and estimation, and lifetime and quality analysis, it is a valuable resource for graduate and senior undergraduate engineering students, and practicing engineers, more specifically it is useful for quality engineers, reliability engineers, consultants, black belts, master black belts, students and researchers interested in applying reliability and risk and quality methods.
606   $aStatistics 
606   $aQuality control
606   $aReliability
606   $aIndustrial safety
606   $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001
606   $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010
606   $aQuality Control, Reliability, Safety and Risk$3https://scigraph.springernature.com/ontologies/product-market-codes/T22032
615  0$aStatistics .
615  0$aQuality control.
615  0$aReliability.
615  0$aIndustrial safety.
615 14$aStatistical Theory and Methods.
615 24$aStatistics for Business, Management, Economics, Finance, Insurance.
615 24$aQuality Control, Reliability, Safety and Risk.
676   $a519.52
700   $aAslam$b Muhammad$4aut$4http://id.loc.gov/vocabulary/relators/aut$0643574
702   $aAli$b Mir Masoom$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910350245303321
996   $aTesting and Inspection Using Acceptance Sampling Plans$92517205
997   $aUNINA