Description

Statistical Methods for SPC and TQM sets out to fill the gap for those in statistical process control (SPC) and total quality management (TQM) who need a practical guide to the logical basis of data presentation, control charting, and capability indices.
Statistical theory is introduced in a practical context, usually by way of numerical examples. Several methods familiar to statisticians have been simplified to make them more accessible. Suitable tabulations of these functions are included; in several cases, effective and simple approximations are offered.

Contents
Data Collection and Graphical Summaries
Numerical Data Summaries-Location and Dispersion
Probability and Distribution
Sampling, Estimation, and Confidence
Sample Tests of Hypothesis; "Significance Tests"
Control Charts for Process Management and Improvement
Control Charts for Average and Variation
Control Charts for "Single-Valued" Observations
Control Charts for Attributes and Events
Control Charts: Problems and Special Cases
Cusum Methods
Process Capability-Attributes, Events, and Normally Distributed Data
Capability; Non-Normal Distributions
Evaluating the Precision of a Measurement System (Gauge Capability)
Getting More from Control Chart Data
SPC in "Non-Product" Applications
Appendices

Statistical Methods for SPC and TQM

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£175.00

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Hardback by D Bissell

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Short Description:

Statistical Methods for SPC and TQM sets out to fill the gap for those in statistical process control (SPC) and... Read more

    Publisher: Taylor & Francis Ltd
    Publication Date: 15/05/1994
    ISBN13: 9780412394409, 978-0412394409
    ISBN10: 0412394405

    Number of Pages: 384

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    Statistical Methods for SPC and TQM sets out to fill the gap for those in statistical process control (SPC) and total quality management (TQM) who need a practical guide to the logical basis of data presentation, control charting, and capability indices.
    Statistical theory is introduced in a practical context, usually by way of numerical examples. Several methods familiar to statisticians have been simplified to make them more accessible. Suitable tabulations of these functions are included; in several cases, effective and simple approximations are offered.

    Contents
    Data Collection and Graphical Summaries
    Numerical Data Summaries-Location and Dispersion
    Probability and Distribution
    Sampling, Estimation, and Confidence
    Sample Tests of Hypothesis; "Significance Tests"
    Control Charts for Process Management and Improvement
    Control Charts for Average and Variation
    Control Charts for "Single-Valued" Observations
    Control Charts for Attributes and Events
    Control Charts: Problems and Special Cases
    Cusum Methods
    Process Capability-Attributes, Events, and Normally Distributed Data
    Capability; Non-Normal Distributions
    Evaluating the Precision of a Measurement System (Gauge Capability)
    Getting More from Control Chart Data
    SPC in "Non-Product" Applications
    Appendices

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