Statistical methods are applied widely in industry, particularly in
manufacturing processes, to provide authoritative methods for
quality control and thus improve productivity and efficiency. The
various methods range from graphical approaches to generalised
modelling, and from designed experiments to process control.
Statistical Practice in Business and Industry presents the latest
advances in the application of statistical and optimisation methods
within modern industry, alongside more established methods. Methods
are demonstrated across a wide range of real-life applications from
fields including finance, e-commerce, micro-electronics, chemical
and automotive engineering, component assembly, household goods and
plastics manufacturing. Each topic is investigated by an expert in
that field, facilitating a comprehensive understanding of how
statistical methods benefit business and industry.
The book:
Provides comprehensive coverage of the essential statistical
methods applied in industry.
Presents user-friendly practical guidance on the applications of
the methods.
Adopts a graphical approach, helping the non-statistician to
fully understand the methods.
Features problem solving strategies for all aspects of business,
from product and process design, through to packaging and delivery,
dealing with single and multivariate problems.
Includes a review of available software and references to
further reading.
The lucid style of Statistical Practice in Business and
Industry makes this an invaluable text for anyone working in
industry and employing statistical methods in their work. It also
makes ideal supplementary reading for students of engineering and
statistics.
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