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Statistical Practice in Business and Industry. Statistics in Practice

  • ID: 2170244
  • Book
  • March 2008
  • Region: Global
  • 450 Pages
  • John Wiley and Sons Ltd
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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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1 Introduction

Shirley Coleman, Tony Fouweather and Dave Stewardson

2 A History of Industrial Statistics

Jeroen de Mast

3 Statistical Consultancy

3.I A Statistician in Industry

Ronald J.M.M. Does and Albert Trip

3.II Black Belt Types

Roland Caulcutt

3.III Statistical Consulstancy Units at Universities

Ronald J.M.M. Does and András Zempléni

3.IV Consultancy? . . . What′s in It for Me?

Roland Caulcutt

4 The Statistical Efficiency Conjecture

Ron S. Kenett, Anne De Frenne, Xavier Tort–Martorell and Chris McCollin

5 Management Statistics

Irena Ograjen ek and Ron S. Kenett

6 Service Quality

Irena Ograjen ek

7 Design and Analysis of Industrial Experiments

Timothy J. Robinson

8 Data Mining

Paola Cerchiello, Silvia Figini and Paolo Giudici

9 Using Statistical Process Control for Continual Improvement

Donald J. Wheeler and Øystein Evandt

10 Advanced Statistical Process Control

Murat Kulahci and Connie Borror

11 Measurement System Analysis

Giulio Barbato, Grazia Vicario and Raffaello Levi

12 Safety and Reliability

12.I Reliability Engineering: The State of the Art

Chris McCollin

12.II Stochastics for the Quality Movement: An Integrated Approach to Reliability and Safety

M. F. Ramalhoto

13 Multivariate and Multiscale Data Analysis

Marco P. Seabra dos Reis and Pedro M. Saraiva

14 Simulation in Industrial Statistics

David R´ os Insua, Jorge Muruzabal, Jes´us Palomo, Fabrizio Ruggeri, Julio Holgado and Ra´ul Moreno

15 Communication

Tony Greenfield and John Logsdon Index

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Shirley Coleman
Tony Greenfield
Dave Stewardson
Douglas C. Montgomery
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