Statistic for Business

Statistical Practice in Business and Industry

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This book was originally conceived as a handbook arising from the European Commission
funded Fifth Framework project entitled European Network for Promotion
of Business and Industrial Statistics (pro-ENBIS).1 The book was a natural consequence
of the vibrant and productive three-year working partnership between many
of the foremost players in the field of practical statistics. Contributions for the book
have been volunteered from each of the Pro-ENBIS work package leaders and from
most of the other project partners and members. Many of the contributions are collaborative
efforts, not only ensuring that the subjects covered are dealt with from
more than one perspective, but also carrying on the initial drive of the project in
promoting collaborations to further the subject as a whole. ENBIS, the European
Network of Business and Industrial Statistics, is part of a world-wide movement
to promote statistical practice, and as a reflection of this viewpoint the book also
includes contributions from people who were not directly involved in Pro-ENBIS
but who are acknowledged experts and supporters of the ENBIS mission of promoting
the application and understanding of statistical methods. The resulting book provides
a thorough overview of the state of the art in business and industrial statistics.
The subject areas are dealt with in a logical manner, starting with a brief
overview of the history of industrial statistics, before tackling a variety of subjects
which have become vital to many areas of business and industry throughout the
world. The first part of the book deals with statistical consultancy including process
improvement and Six Sigma initiatives, which seek to implement statistical methods
and tools in businesses and industry. Chapters on management statistics and service
quality are followed by data mining. The important area of process modelling
is dealt with in two chapters followed by some fundamental areas of statistics,
including designing experiments, multivariate analysis and simulation.
The book covers methodology and techniques currently in use and those about
to be launched, and includes references to miscellaneous sources of information,
including websites. No book on statistical practice would be complete without
giving due time and attention to communication. The last chapter is dedicated to
this most important part of statistical practice.
Shirley Coleman

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English

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