Six Sigma with R - Statistical Engineering for Process Improvement (Paperback, 2012 ed.)

Six 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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Use R!, 36
Release date:	July 2012
First published:	2012
Authors:	Emilio L. Cano • Javier Martinez Moguerza • Andres Redchuk
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Paperback
Pages:	284
Edition:	2012 ed.
ISBN-13:	978-1-4614-3651-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	1-4614-3651-6
Barcode:	9781461436515

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