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The efficient use of quality control data / Kenneth W. Kemp.
Author
Kemp, Kenneth W. (Kenneth Walter), 1925-
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Format
Book
Language
English
Published/Created
Oxford : Clarendon Press ; New York : Oxford University Press, 2001.
Description
xi, 260 pages : illustrations ; 24 cm.
Availability
Copies in the Library
Location
Call Number
Status
Location Service
Notes
Lewis Library - Stacks
TS156 .K418 2001
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Details
Subject(s)
Quality control
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Quality assurance
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Series
IMA monograph series ; 4.
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IMA monograph series ; 4
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Summary note
"Accurate measurements in clinical and industrial testing are often not possible. Each measurement contains what can be regarded as an uncontrollable component of error. The use of these measurements to control quality therefore inevitably leads to some right and some wrong conclusions. This book describes methods which can be used to control the frequency with which wrong conclusions will occur. It describes recent developments which can be employed when very few control measurements can be taken due to limitations of cost or technical difficulties."--Jacket.
Bibliographic references
Includes bibliographical references (p. [254]-257) and index.
Contents
Statistical concepts
Some aspects of statistical quality control
Historical note
Control
Industrial example
Control and removal of ringiness
Clinical testing
Efficient use of data
Average run length
Control techniques
Control statistics
Sampling interval
Randomness
Statistical method
Right and wrong decisions
Small samples. Decisions and consequences
Small samples
Measurements
Events
Probability
Statistical decision rules
Summarizing parameters
Distributions relevant to process and test control
Binomial distribution
The moments of a distribution
Skewness and kurtosis
The Poisson distribution
Useful relationships
The normal distribution
Gamma variates
Sum of variates
Probability generating function
The p.g.f. of a variate sum
Moment generating function (m.g.f.)
An important m.g.f. property
Characteristic function
Effective use of sampled data
Efficient estimators
Hypothesis testing
Simple hypotheses
Composite hypotheses
Significance
Central limit theorem
Principles and criteria of statistical quality control
Control of proportion of defective items
Proportion defective control charts
Variate transformation
Better control rules
Average run length of a Shewhart chart
Double- and single-sided control schemes
Choice between different schemes
ARL profile
More effective control charts.
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ISBN
0198536747
9780198536741
LCCN
00067604
OCLC
45460946
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Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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