1.

Record Nr.

UNINA9910145688203321

Titolo

Statistical practice in business and industry [[electronic resource] /] / edited by Shirley Coleman ... [et al.]

Pubbl/distr/stampa

Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008

ISBN

1-281-31234-7

9786611312343

0-470-99748-6

0-470-99747-8

Descrizione fisica

1 online resource (449 p.)

Collana

Statistics in practice

Altri autori (Persone)

ColemanShirley

Disciplina

338.00727

658.4

658.4/033

658.4033

Soggetti

Commercial statistics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Statistical Practice in Business and Industry; Contents; Contributors; Preface; 1 Introduction; 2 A History of Industrial Statistics; 3 Statistical Consultancy; 3.I. A Statistician in Industry; 3.II Black Belt Types; 3.III Statistical Consultancy Units at Universities; 3.IV Consultancy? . . . What's in It for Me?; 4 The Statistical Efficiency Conjecture; 5 Management Statistics; 6 Service Quality; 7 Design and Analysis of Industrial Experiments; 8 Data Mining; 9 Using Statistical Process Control for Continual Improvement; 10 Advanced Statistical Process Control; 11 Measurement System Analysis

12 Safety and Reliability12.I. Reliability Engineering: The State of the Art; 12.II Stochastics for the Quality Movement: An Integrated Approach to Reliability and Safety; 13 Multivariate and Multiscale Data Analysis; 14 Simulation in Industrial Statistics; 15 Communication; Index

Sommario/riassunto

This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro-electronics, chemical, automotive,



engineering, food, component assembly, household goods and plastics. Methods range from basic graphical approaches to generalised modelling, from designed experiments to process control. Solutions cover produce and process design, through manufacture to packaging and delivery, from single responses to multivariate problems.