LEADER 00000cam a2200697 i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr cnu---unuuu 
008    180709s2019    nju     ob    001 0 eng   
010      2018032639 
015    GBB8F9651|2bnb 
016 7  019033173|2Uk 
020    1118890671 
020    9781118890578|q(electronic book) 
020    1118890574|q(electronic book) 
020    9781118890677|q(electronic book) 
020    9781118890561|q(electronic book) 
020    1118890566|q(electronic book) 
020    |q(hardcover) 
029 1  AU@|b000063604047 
029 1  AU@|b000067099905 
029 1  CHNEW|b001039152 
029 1  CHVBK|b559026153 
029 1  UKMGB|b019033173 
035    (OCoLC)1043962779 
037    9781118890578|bWiley 
040    DLC|beng|erda|epn|cDLC|dOCLCO|dOCLCF|dOCLCQ|dN$T|dDG1
       |dUKMGB|dYDX|dRECBK|dOCLCQ|dOCLCO|dOCLCQ|dOCLCO 
042    pcc 
049    INap 
082 00 519.5 
082 00 519.5|223 
099    eBook O'Reilly for Public Libraries 
100 1  Chakraborti, Subhabrata,|eauthor. 
245 10 Nonparametric statistical process control /|cSubhabrata 
       Chakraborti, Marien Alet Graham.|h[O'Reilly electronic 
       resource] 
264  1 Hoboken, NJ :|bJohn Wiley & Sons,|c2019. 
300    1 online resource 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
504    Includes bibliographical references and index. 
505 0  Background/review of statistical concepts -- Basics of 
       statistical process control -- Parametric univariate 
       variables control charts -- Nonparametric (distribution-
       free) univariate variables control charts -- Miscellaneous
       univariate distribution-free (nonparametric) variables 
       control charts. 
520    A unique approach to understanding the foundations of 
       statistical quality control with a focus on the latest 
       developments in nonparametric control charting 
       methodologies Statistical Process Control (SPC) methods 
       have a long and successful history and have revolutionized
       many facets of industrial production around the world. 
       This book addresses recent developments in statistical 
       process control bringing the modern use of computers and 
       simulations along with theory within the reach of both the
       researchers and practitioners. The emphasis is on the 
       burgeoning field of nonparametric SPC (NSPC) and the many 
       new methodologies developed by researchers worldwide that 
       are revolutionizing SPC. Over the last several years 
       research in SPC, particularly on control charts, has seen 
       phenomenal growth. Control charts are no longer confined 
       to manufacturing and are now applied for process control 
       and monitoring in a wide array of applications, from 
       education, to environmental monitoring, to disease mapping,
       to crime prevention. This book addresses quality control 
       methodology, especially control charts, from a 
       statistician's viewpoint, striking a careful balance 
       between theory and practice. Although the focus is on the 
       newer nonparametric control charts, the reader is first 
       introduced to the main classes of the parametric control 
       charts and the associated theory, so that the proper 
       foundational background can be laid.-Reviews basic SPC 
       theory and terminology, the different types of control 
       charts, control chart design, sample size, sampling 
       frequency, control limits, and more -Focuses on the 
       distribution-free (nonparametric) charts for the cases in 
       which the underlying process distribution is unknown -
       Provides guidance on control chart selection, choosing 
       control limits and other quality related matters, along 
       with all relevant formulas and tables -Uses computer 
       simulations and graphics to illustrate concepts and 
       explore the latest research in SPC Offering a uniquely 
       balanced presentation of both theory and practice, 
       Nonparametric Methods for Statistical Quality Control is a
       vital resource for students, interested practitioners, 
       researchers, and anyone with an appropriate background in 
       statistics interested in learning about the foundations of
       SPC and latest developments in NSPC. 
588 0  Online resource; title from digital title page (viewed on 
       March 04, 2019). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Nonparametric statistics. 
650  0 Process control|xStatistical methods. 
650  6 Statistique non paramétrique. 
650  7 Nonparametric statistics|2fast 
650  7 Process control|xStatistical methods|2fast 
700 1  Graham, Marien A.,|eauthor. 
776 08 |iPrint version:|aChakraborti, Subhabrata.|tNonparametric 
       statistical process control.|dHoboken, NJ : John Wiley & 
       Sons, 2018|z9781118456033|w(DLC)  2018023685 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781118456033/?ar
       |zAvailable on O'Reilly for Public Libraries 
938    EBSCOhost|bEBSC|n2027866 
938    Recorded Books, LLC|bRECE|nrbeEB00754854 
938    YBP Library Services|bYANK|n16049480 
994    92|bJFN