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Book Bayesian Single Sampling Acceptance Plans for Finite Lot Sizes

Download or read book Bayesian Single Sampling Acceptance Plans for Finite Lot Sizes written by P. Thyregod and published by . This book was released on 1973 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Bayesian Single Sampling Acceptance Plans for Finite Lot Sizes

Download or read book Bayesian Single Sampling Acceptance Plans for Finite Lot Sizes written by Danmarks Tekniske Højskole. Institut for Matematisk Statistik og Operationsanalyse and published by . This book was released on 1972 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book How and when to Perform Bayesian Acceptance Sampling

Download or read book How and when to Perform Bayesian Acceptance Sampling written by Thomas W. Calvin and published by Asq Corporation. This book was released on 1990 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: This how-to book gives a clear rationale for the use of Bayesian methods by comparing them with conventional acceptance sampling approaches.Contents:Introduction to Bayesian Acceptance Sampling Bayesian Acceptance Sampling Distributions Examples of Plan Section

Book Bayesian Sampling

    Book Details:
  • Author : N. R. Mann
  • Publisher :
  • Release : 1975
  • ISBN :
  • Pages : 8 pages

Download or read book Bayesian Sampling written by N. R. Mann and published by . This book was released on 1975 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: A prediction-interval approach was derived for determining Gaussian sampling plans for finite lots required to be of very high quality. The plans are such that a lot is rejected if a single defective item is found in the sample. No loss function is required for the implementation of the plans, so they may be used in any situation in which the manufacturing process is Gaussian and lots are small (less than 100 items) and required to be of high quality. The savings in sample size over traditional attribute plans or variables plans assuming an infinite lot size is considerable.

Book Risk Preference in Bayesian Single Sampling Inspection Plans

Download or read book Risk Preference in Bayesian Single Sampling Inspection Plans written by Herbert Moskowitz and published by . This book was released on 1981 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Encyclopedia of Biopharmaceutical Statistics   Four Volume Set

Download or read book Encyclopedia of Biopharmaceutical Statistics Four Volume Set written by Shein-Chung Chow and published by CRC Press. This book was released on 2018-09-03 with total page 4031 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of the first edition in 2000, there has been an explosive growth of literature in biopharmaceutical research and development of new medicines. This encyclopedia (1) provides a comprehensive and unified presentation of designs and analyses used at different stages of the drug development process, (2) gives a well-balanced summary of current regulatory requirements, and (3) describes recently developed statistical methods in the pharmaceutical sciences. Features of the Fourth Edition: 1. 78 new and revised entries have been added for a total of 308 chapters and a fourth volume has been added to encompass the increased number of chapters. 2. Revised and updated entries reflect changes and recent developments in regulatory requirements for the drug review/approval process and statistical designs and methodologies. 3. Additional topics include multiple-stage adaptive trial design in clinical research, translational medicine, design and analysis of biosimilar drug development, big data analytics, and real world evidence for clinical research and development. 4. A table of contents organized by stages of biopharmaceutical development provides easy access to relevant topics. About the Editor: Shein-Chung Chow, Ph.D. is currently an Associate Director, Office of Biostatistics, U.S. Food and Drug Administration (FDA). Dr. Chow is an Adjunct Professor at Duke University School of Medicine, as well as Adjunct Professor at Duke-NUS, Singapore and North Carolina State University. Dr. Chow is the Editor-in-Chief of the Journal of Biopharmaceutical Statistics and the Chapman & Hall/CRC Biostatistics Book Series and the author of 28 books and over 300 methodology papers. He was elected Fellow of the American Statistical Association in 1995.

Book A Bayesian Analysis for Economic Design of Single Sampling Plans for a Sequence of Lots

Download or read book A Bayesian Analysis for Economic Design of Single Sampling Plans for a Sequence of Lots written by Fernando L. Taracena and published by . This book was released on 1983 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: A dynamic approach to the Bayesian theory of sampling inspection by attributes for the single sampling case is presented. A model is developed which assumes a sequence of lots of equal known size and lots generated by a process operating in a random manner. The model also assumes constant associated costs for all lots and that the posterior distribution of the process quality of a given lot becomes the prior distribution of the process quality of the next lot. This allows the information from one lot to be used in the decision making for subsequent lots. The model is formulated by using a mixed binomial distribution with beta weights as the prior distribution of the lot quality. An improved algorithm for the solution of the single lot case, bounds for the optimal sample size, a lower bound for the expected cost of sampling for the single lot case and a lower bound for the expected cost for the sequence of lots are presented. Optimality conditions for the non-sampling alternatives, the 100% sampling case, and the convergence of the optimal acceptance plan when the number of lots in the sequence tends to infinity are investigated. The model is formulated as a dynamic programming problem with sampling, reject without sampling and accept without sampling as the possible actions; and the lots as the stages. Relationships between the optimal actions at different lots which are independent of the form of the expected cost of sampling function are presented. Exact and approximate solution algorithms are developed and tested. Experimental results indicate that the use of the bounds for the optimal sample size, the lower bound for the expected cost of sampling and the results on optimality of the non-sampling alternatives lead to the pruning of a large part of the decision tree. Approximate methods developed can be classified as forward-back ward procedures. The forward pass reduces the state space by fixing the sample size for all lots but the last one, according to a specified set of rules. The backward pass uses the dynamic programming formulation for finding the optimal policy for the reduced state space. The effectiveness of the approximate methods were evaluated in terms of the quality of the solutions and the computational effort to obtain the solutions. Results indicate that efficiency of two of the approximate methods is very high while computational requirements are drastically reduced.

Book Bayesian Single Sampling Attribute Plans for Discrete Prior Distributions

Download or read book Bayesian Single Sampling Attribute Plans for Discrete Prior Distributions written by Anders Hald and published by . This book was released on 1965 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main purpose of the paper was to give a rather complete tabulation and discussion of properties of a system of single sampling attribute plans obtained by minimizing average costs under the assumptions that costs are linear in p, the fraction defective, and that the distribution of lot quality is a double binomial distribution. Starting from a cost function containing 6 parameters and a mixed binomial prior distribution it was shown how the average costs may be written in a standard form containing only two parameters, p sub r and p sub s, besides the parameters defining the prior distribution. The one parameter, p sub r, is the economic break-even quality and depends on the costs of acceptance and rejection only, whereas the second parameter, p sub s also depends on the costs of sampling inspection and the average quality. In a simple and practically important case p sub r and p sub s denote the costs of rejection and the costs of sampling inspection, respectively, divided by the costs of accepting a defective item. (Author).

Book Quality Control and Applied Statistics

Download or read book Quality Control and Applied Statistics written by and published by . This book was released on 1976 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Zero Acceptance Number Sampling Plans

Download or read book Zero Acceptance Number Sampling Plans written by Nicholas L. Squeglia and published by Quality Press. This book was released on 2008-02-07 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a set of attribute plans for lot-by-lot inspection with the acceptance number in all cases as zero. After years of extensive application by government contractors, commercial manufacturing, and service industries, these c=0 sampling plans are now considered stand alone sampling plans. They have continually gained in popularity for more than 45 years, and today are the norm. The zero acceptance number plans developed by the author were originally designed and used to provide equal or greater consumer protection with less overall inspection than the corresponding MIL-STD-105-E sampling plans. In 2000, the Department of Defense declared MIL-STD-105-E obsolete and recommended the c=0 plans in this book for use in place of them. In addition to the economic advantages, the plans in this book are also simple to use and administer. Copies printed after 2011 include the most up-to-date sampling plans.

Book A Bayesian Approach to Sequential Sampling

Download or read book A Bayesian Approach to Sequential Sampling written by Jack Allen Klasky and published by . This book was released on 1966 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book A Prediction Interval Approach to Defining Variables Sampling Plans for Finite Lots Required to be of High Quality  Single Sampling for Gaussian Processes

Download or read book A Prediction Interval Approach to Defining Variables Sampling Plans for Finite Lots Required to be of High Quality Single Sampling for Gaussian Processes written by Kenneth W. Fertig and published by . This book was released on 1975 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: A prediction-interval approach and an assumption of a Gaussian manufacturing process are used to derive a variables sampling plan applicable to finite lots required to be of very high quality. Values tabulated for calculating acceptance regions are such that, with high probability, accepted lots will have zero defects. Further, tables are given for selecting sample size for a specified combination of lot size and acceptable quality level. Comparisons show that, for a fixed risk level, substantial savings in required sample size can be effected over those specified by comparable hypergeometric sampling plans. Lots ranging in size from 5 to 100 are considered. Bounds for the probability of accepting a lot with a fixed number of defects and coming from a prescribed manufacturing process are derived and prove to be very tight. Not only are these bounds useful in defining the required sample size in the sampling plan context, but the method of derivation has application to other areas of sampling, e.g. from truncated or stratified distributions.