Chakraborti, Subhabrata <br/><br/>
Nonparametric statistical process control / 
Subhabrata Chakraborti, Marien A Graham. 
 - Hoboken, NJ :  John Wiley & Sons,  c2019. 
 - xix, 428 pages :   illustrations ;  26 cm 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>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 -- Appendix A: Tables --  Appendix B: Programmes.<br/> 
<br/><br/> "Statistical Process Control (SPC) methods have a long and successful history in industrial statistics and have revolutionized many facets of industrial production around the world. This book addresses recent developments in SPC bringing the modern use of computers and simulations along with the 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. 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 treats 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. Offering a uniquely balanced presentation of both theory and practice, Nonparametric Statistical Process 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."--Back cover<br/> 
<br/><br/><label>ISBN: </label>9781118456033 (hardcover) 
<br/><br/><label>LCCN: </label>2018023685 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Nonparametric statistics<br/>Process control--Statistical methods
<br/><br/><label>LC Class. No.: </label>QA278.8  / C34 2019