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Modern industrial statistics : design and control of quality and reliability

Author: Ron Kenett; Shelemyahu Zacks
Publisher: Pacific Grove : Duxbury Press, ©1998.
Edition/Format:   Print book : CD for computer : Document   Computer File : EnglishView all editions and formats
Summary:
"Practical and comprehensive, Modern Industrial Statistics covers both introductory and advanced methods of quality, reliability, and design." "Highlights include: an overall focus on quality, productivity, and reliability with special coverage of computer-intensive methods such as bootstrapping and resampling; integration of computer solution methods into every concept-computer instructions for Minitab are included  Read more...
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Details

Material Type: Document
Document Type: Book, Computer File
All Authors / Contributors: Ron Kenett; Shelemyahu Zacks
ISBN: 0534353703 9780534353704
OCLC Number: 37830072
Description: xviii, 621 pages : illustrations ; 25 cm + 1 computer optical disc (4 3/4 in.)
Details: System requirements: Windows 3.0 or higher; CD-ROM drive.
Contents: Part I. Principles of Statistical Thinking and Analysis --
1. The Role of Statistical Methods in Modern Industry --
The Different Functional Areas in Industry --
The Quality-Productivity Dilemma --
Fire Fighting --
Inspection of Products --
Process Control --
Quality by Design --
2. Understanding Variability --
Random Phenomena and the Structure of Observations --
Accuracy and Precision of Measurements --
The Population and the Sample --
Descriptive Analysis of Sample Data --
Prediction Intervals --
Additional Techniques of Exploratory Data Analysis --
3. Variability in Several Dimensions --
Graphical Display and Analysis --
Dynamic Graphics --
Frequency Distributions in Several Dimensions --
Correlation and Regression Analysis --
Contingency Tables --
4. Basic Models of Probability and Distribution Functions --
Basic Probability --
Random Variables and Their Distributions --
Families of Discrete Distributions --
Continuous Distributions --
Joint, Marginal, and Conditional Distributions --
Some Multivariate Distributions --
Distribution of Order Statistics --
Linear Combination of Random Variables --
Large Sample Approximations --
Additional Distributions of Statistics of Normal Samples --
5. Sampling for Estimation of Finite Population Quantities --
Sampling and the Estimation Problem --
Estimating with Simple Random Samples --
Estimating the Mean with Stratified RSWOR --
Proportional and Optimal Allocation --
Prediction Models with Known Covariates --
6. PARAMETRIC STATISTICAL INFERENCE Sampling Characteristics of Estimator --
Methods of PointEstimation --
Confidence Intervals --
Tolerance Intervals --
Comparison of Sample Estimates with Specified Standards-Testing --
Testing for Normality with Probability Plots --
Tests of Goodness of Fit --
Bayesian Decision Procedures --
7. Distribution-Free Inference: Computer Intensive Techniques --
Random Sampling from Reference Distributions --
Bootstrap Sampling --
Bootstrap Testing of Hypotheses --
Bootstrap Tolerance Intervals --
Non-Parametric Tests --
Description of MINITAB Macros and Executable Files used in Chapter 7 --
8. Multiple Linear Regression and Analysis of Variance --
Regression on Two Variables --
Part ial. Regression and Correlation --
Multiple Linear Regression --
Part ial. F-Tests and the Sequential SS --
Model Construction: Step-Wise Regression --
Regression Diagnostics --
Part II. Methods of Industrial Statistics --
9. Sampling Plans for Product Inspection G --
Eneral Discussion --
Single-Stage Sampling Plans for Attributes --
Approximate Determination of the Sampling Plan --
Double-Sampling Plans for Attributes --
Sequential Sampling --
Acceptance Sampling Plans for Variables --
Rectifying Inspection of Lots --
National and International Standards --
Skip Lot Sampling for Attributes --
The Deming Inspection Criterion --
Published Tables for Acceptance Sampling --
10. Basic Tools and Principles of Statistical Process Control --
Basic Concepts of Statistical Process Control --
Driving a Process with Control Charts --
Setting Up a Control Chart: Process Capability Studies --
Process Capability Indices --
Seven Tools for Process Control and Process Improvement --
Statistical Analysis of Pareto Charts --
The Shewhart Control Charts --
11. Advanced Methods of Statistical Process Control --
Tests of Randomness --
Modified Shewhart Control Charts for Chi --
The Size and Frequency of Sampling for Shewhart Control Charts --
Multivariate Control Charts --
Cumulative Sum Control Charts --
Bayesian Detection --
Process Tracking --
Automatic Process Control --
12. Classical Design and Analysis of Experiments --
Basic Steps and Guiding Principles --
Blocking and Randomization --
Additive and Non-Additive Linear Models: Main Effects and Interactions --
The Analysis of Randomized Complete Block Designs --
Balanced Incomplete Block Designs --
Latin Squares Designs --
Full Factorial Experiments --
Blocking and Fractional Replications of 2m Factorial Designs --
Exploration of Response Surfaces --
13. Quality By Design --
Off-Line Quality Control, Parameter Design, and The Taguchi Method --
The Effect of Non-Linearity --
Taguchi's Designs --
Computer Aided Designs --
Tolerance Designs --
Case Studies --
14. Reliability Analysis --
Basic Notions --
System Reliability --
Availability of Repairable Systems --
Types of Observations of TTF --
Graphical Analysis of Life Data --
Non-Parametric Estimation of Reliability --
Estimation of Life Characteristics --
Reliability Demonstration --
Accelerated Life Testing --
Burn-In Procedures --
Appendix I. Review of Matrix Algebra for Statistics With Minitab Computations --
Appendix II. Simulators --
Appendix III. Basic Information on Data Files and Software --
Appendix IV. Detailed Information on Data Files --
Appendix V. Detailed Information on Basic Executable Files and Minitab Macros --
Appendix VI. S-Plus Procedures --
Appendix VII. Solutions --
Appendix VIII. Basic Minitab Operations and Commands --
Appendix IX. List of Abbreviations --
Appendix X. The Greek Alphabet --
Index.
Responsibility: Ron Kenett, Shelemyahu Zacks.

Abstract:

Presents the methods in industrial statistics. This title shows how to utilize the computer as an indespensible tool in solving statistical problems applied to industry.  Read more...

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