Overview

Presents the modern industrial statistical methods. The text should be of particular interest to students interested in becoming production and operations managers, engineers, or engineering and industrial consultants who will find themselves doing statistical analysis for industry. All current methods - including bootstrapping and resampling - are presented in the text and are illustrated with real-world examples from industry. Computer instructions for Minitab and S-Plus are integrated throughout. The text covers industrial statistical methods from the very basic to the most advanced topics, including - statistical inference, data analysis, experimental design, quality control, reliability, and regression. A special emphasis is placed on manufacturing and on statistical quality control and improvement.

Full Product Details

Author:   Ron Kenett ,  Shelemyahu Zacks
Publisher:   Cengage Learning, Inc
Imprint:   Brooks/Cole
Dimensions:   Width: 18.80cm , Height: 3.30cm , Length: 23.60cm
Weight:   1.180kg
ISBN:  

9780534353704

ISBN 10:   0534353703
Pages:   608
Publication Date:   01 January 1998
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of 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 / Chapter Summary / Exercises 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 / Chapter Summary / Exercises 3. VARIABILITY IN SEVERAL DIMENSIONS Graphical Display and Analysis / Dynamic Graphics / Frequency Distributions in Several Dimensions / Correlation and Regression Analysis / Contingency Tables / Chapter Summary / Exercises 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 / Chapter Summary / Exercises 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 / Chapter Summary / Exercises 6. PARAMETRIC STATISTICAL INFERENCE Sampling Characteristics of Estimator / Methods of Point Estimation / 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 / Chapter Summary / Exercises 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 / Chapter Summary / Exercises 8. MULTIPLE LINEAR REGRESSION AND ANALYSIS OF VARIANCE Regression on Two Variables / Partial Regression and Correlation / Multiple Linear Regression / Partial F-Tests and the Sequential SS / Model Construction: Step-Wise Regression / Regression Diagnostics / Chapter Summary / Exercises PART II: METHODS OF INDUSTRIAL STATISTICS 9. SAMPLING PLANS FOR PRODUCT INSPECTION General 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 / Chapter Summary / Exercises 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 / Chapter Summary / Exercises 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 / Chapter Summary / Exercises 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 / Chapter Summary / Exercises 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 / Chapter Summary / Exercises 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 / Chapter Summary / Exercises / REFERENCES / 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

Reviews

Author Information

Tab Content 6

Author Website:  

Countries Available

All regions