000 03596nam a22005175i 4500
001 978-1-4614-3652-2
003 DE-He213
005 20140220083248.0
007 cr nn 008mamaa
008 120703s2012 xxu| s |||| 0|eng d
020 _a9781461436522
_9978-1-4614-3652-2
024 7 _a10.1007/978-1-4614-3652-2
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aCano, Emilio L.
_eauthor.
245 1 0 _aSix Sigma with R
_h[electronic resource] :
_bStatistical Engineering for Process Improvement /
_cby Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2012.
300 _aXXX, 284 p. 104 illus., 26 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUse R! ;
_v36
505 0 _aPart I Basics -- Six Sigma in a Nutshell -- R from the Beginning -- Part II R Tools for the Define phase -- Process Mapping with R -- Loss Function Analysis with R -- Part III R Tools for the Measure phase -- Measurement System Analysis with R -- Pareto Analysis with R -- Process Capability Analysis with R -- Part IV R Tools for the Analyze phase -- Charts with R -- Statistics and Probability with R -- Statistical Inference with R -- Part V R Tools for the Improve phase -- Design of Experiments with R -- Part VI R Tools for the Control phase -- Process Control with R -- Part VII Further and Beyond -- Other Tools and Methodologies.
520 _aSix Sigma has arisen in the last two decades as a breakthrough Quality Management Methodology. With Six Sigma, we are solving problems and improving processes using as a basis one of the most powerful tools of human development: the scientific method. For the analysis of data, Six Sigma requires the use of statistical software, being R an Open Source option that fulfills this requirement. R is a software system that includes a programming language widely used in academic and research departments. Nowadays, it is becoming a real alternative within corporate environments.   The aim of this book is to show how R can be used as the software tool in the development of Six Sigma projects. The book includes a gentle introduction to Six Sigma and a variety of examples showing how to use R within real situations. It has been conceived as a self contained piece. Therefore, it is addressed not only to Six Sigma practitioners, but also to professionals trying to initiate themselves in this management methodology. The book may be used as a text book as well.
650 0 _aStatistics.
650 0 _aMathematical statistics.
650 0 _aEconomics
_xStatistics.
650 1 4 _aStatistics.
650 2 4 _aStatistics, general.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aStatistics and Computing/Statistics Programs.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 2 4 _aStatistics for Business/Economics/Mathematical Finance/Insurance.
700 1 _aMoguerza, Javier M.
_eauthor.
700 1 _aRedchuk, Andrés.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461436515
830 0 _aUse R! ;
_v36
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-3652-2
912 _aZDB-2-SMA
999 _c101416
_d101416