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Springer Handbook of Engineering Statistics

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Cover of 'Springer Handbook of Engineering Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Basic Statistical Concepts
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    Chapter 2 Statistical Reliability with Applications
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    Chapter 3 Weibull Distributions and Their Applications
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    Chapter 4 Characterizations of Probability Distributions
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    Chapter 5 Two-Dimensional Failure Modeling
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    Chapter 6 Prediction Intervals for Reliability Growth Models with Small Sample Sizes
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    Chapter 7 Promotional Warranty Policies: Analysis and Perspectives
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    Chapter 8 Stationary Marked Point Processes
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    Chapter 9 Modeling and Analyzing Yield, Burn-In and Reliability for Semiconductor Manufacturing: Overview
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    Chapter 10 Statistical Methods for Quality and Productivity Improvement
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    Chapter 11 Statistical Methods for Product and Process Improvement
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    Chapter 12 Robust Optimization in Quality Engineering
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    Chapter 13 Uniform Design and Its Industrial Applications
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    Chapter 14 Cuscore Statistics: Directed Process Monitoring for Early Problem Detection
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    Chapter 15 Chain Sampling
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    Chapter 16 Some Statistical Models for the Monitoring of High-Quality Processes
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    Chapter 17 Monitoring Process Variability Using EWMA
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    Chapter 18 Multivariate Statistical Process Control Schemes for Controlling a Mean
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    Chapter 19 Statistical Survival Analysis with Applications
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    Chapter 20 Failure Rates in Heterogeneous Populations
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    Chapter 21 Proportional Hazards Regression Models
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    Chapter 22 Accelerated Life Test Models and Data Analysis
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    Chapter 23 Statistical Approaches to Planning of Accelerated Reliability Testing
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    Chapter 24 End-to-End (E2E) Testing and Evaluation of High-Assurance Systems
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    Chapter 25 Statistical Models in Software Reliability and Operations Research
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    Chapter 26 An Experimental Study of Human Factors in Software Reliability Based on a Quality Engineering Approach
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    Chapter 27 Statistical Models for Predicting Reliability of Software Systems in Random Environments
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    Chapter 28 Measures of Influence and Sensitivity in Linear Regression
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    Chapter 29 Logistic Regression Tree Analysis
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    Chapter 30 Tree-Based Methods and Their Applications
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    Chapter 31 Image Registration and Unknown Coordinate Systems
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    Chapter 32 Statistical Genetics for Genomic Data Analysis
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    Chapter 33 Statistical Methodologies for Analyzing Genomic Data
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    Chapter 34 Statistical Methods in Proteomics
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    Chapter 35 Radial Basis Functions for Data Mining
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    Chapter 36 Data Mining Methods and Applications
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    Chapter 37 Bootstrap, Markov Chain and Estimating Function
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    Chapter 38 Random Effects
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    Chapter 39 Cluster Randomized Trials: Design and Analysis
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    Chapter 40 A Two-Way Semilinear Model for Normalization and Analysis of Microarray Data
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    Chapter 41 Latent Variable Models for Longitudinal Data with Flexible Measurement Schedule
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    Chapter 42 Genetic Algorithms and Their Applications
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    Chapter 43 Scan Statistics
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    Chapter 44 Condition-Based Failure Prediction
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    Chapter 45 Statistical Maintenance Modeling for Complex Systems
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    Chapter 46 Statistical Models on Maintenance
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    Chapter 47 Risks and Assets Pricing
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    Chapter 48 Statistical Management and Modeling for Demand of Spare Parts
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    Chapter 49 Arithmetic and Geometric Processes
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    Chapter 50 Six Sigma
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    Chapter 51 Multivariate Modeling with Copulas and Engineering Applications
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    Chapter 52 Queuing Theory Applications to Communication Systems: Control of Traffic Flows and Load Balancing
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    Chapter 53 Support Vector Machines for Data Modeling with Software Engineering Applications
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    Chapter 54 Optimal System Design
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Title
Springer Handbook of Engineering Statistics
Published by
Springer Science & Business Media, January 2006
DOI 10.1007/978-1-84628-288-1
ISBNs
978-1-85233-806-0, 978-1-84628-288-1
Editors

Pham, Hoang

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 19%
Researcher 14 14%
Student > Master 12 12%
Student > Bachelor 9 9%
Student > Doctoral Student 5 5%
Other 14 14%
Unknown 27 27%
Readers by discipline Count As %
Engineering 35 35%
Computer Science 7 7%
Agricultural and Biological Sciences 5 5%
Mathematics 3 3%
Materials Science 3 3%
Other 16 16%
Unknown 31 31%