2006

Springer Handbook of Engineering Statistics

Editors:

ISBN: 978-1-85233-806-0 (Print) 978-1-84628-288-1 (Online)

Table of contents (54 entries)

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  1. Front Matter

    Pages i-xliv

  2. Fundamental Statistics and Its Applications

    1. Front Matter

      Pages 1-169

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      Reference Work Entry

      Pages 3-48

      Basic Statistical Concepts

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      Pages 49-61

      Statistical Reliability with Applications

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      Pages 63-78

      Weibull Distributions and Their Applications

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      Pages 79-95

      Characterizations of Probability Distributions

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      Pages 97-111

      Two-Dimensional Failure Modeling

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      Pages 113-123

      Prediction Intervals for Reliability Growth Models with Small Sample Sizes

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      Pages 125-136

      Promotional Warranty Policies: Analysis and Perspectives

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      Pages 137-152

      Stationary Marked Point Processes

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      Pages 153-169

      Modeling and Analyzing Yield, Burn-In and Reliability for Semiconductor Manufacturing: Overview

  3. Process Monitoring and Improvement

    1. Front Matter

      Pages 171-344

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      Pages 173-192

      Statistical Methods for Quality and Productivity Improvement

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      Pages 193-212

      Statistical Methods for Product and Process Improvement

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      Pages 213-227

      Robust Optimization in Quality Engineering

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      Pages 229-247

      Uniform Design and Its Industrial Applications

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      Pages 249-261

      Cuscore Statistics: Directed Process Monitoring for Early Problem Detection

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      Pages 263-279

      Chain Sampling

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      Pages 281-290

      Some Statistical Models for the Monitoring of High-Quality Processes

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      Pages 291-325

      Monitoring Process Variability Using EWMA

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      Pages 327-344

      Multivariate Statistical Process Control Schemes for Controlling a Mean

  4. Reliability Models and Survival Analysis

    1. Front Matter

      Pages 345-520

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      Reference Work Entry

      Pages 347-367

      Statistical Survival Analysis with Applications

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      Pages 369-386

      Failure Rates in Heterogeneous Populations

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