Quality Methods - Quotes from Juran's Quality Handbook

 

SECTION 44  BASIC STATISTICAL METHODS

Edward J. Dudewicz

Department of Mathematics,

Syracuse University, Syracuse, New York

THE STATISTICAL TOOL KIT 44.2

SOURCES AND SUMMARIZATION OF DATA

44.2

Planning for Collection and Analysis of

Data 44.2

Historical Data, Their Uses, and Caveats

44.4

Data from Planned Experimentation 44.5

Data Screening 44.5

Descriptive Statistics for Summarizing

Data 44.7

Accurate Calculation of Descriptive

Statistics 44.15

PROBABILITY MODELS FOR EXPERIMENTS

44.17

Sample Space 44.18

Events 44.18

Rules of Probability, Combinatorics 44.20

Conditional Probability; Bayes’ Theorem

44.21

DISCRETE PROBABILITY DISTRIBUTIONS

44.23

The Discrete Uniform Distribution 44.23

The Binomial Distribution 44.24

The Hypergeometric Distribution 44.24

The Poisson Distribution 44.25

The Negative Binomial Distribution 44.26

The Multinomial Distribution 44.27

Selecting a Discrete Distribution 44.27

CONTINUOUS PROBABILITY 

DISTRIBUTIONS 44.28

The Continuous Uniform Distribution

44.28

The Exponential Distribution 44.29

The Weibull Distribution 44.31

The Normal Distribution 44.33

The Lognormal Distribution 44.36

Mixture Distributions 44.37

The Multinormal Distribution 44.39

The Extended Generalized Lambda

Distribution 44.39

Selecting a Continuous Distribution

44.40

Bootstrap Methods 44.41

STATISTICAL ESTIMATION 44.41

Point Estimates 44.42

Confidence Interval Estimates 44.42

Prediction Intervals 44.47

Tolerance Intervals 44.47

Bayesian Estimates 44.54

Intervals with Fixed Width and Precision

44.54

STATISTICAL TESTS OF HYPOTHESES

44.58

Basic Concepts, Types of Errors 44.58

Use of the Operating Characteristic Curve

in Selecting an Acceptance Region

44.59

Testing a Hypothesis When the Sample

Size Is Fixed in Advance 44.61

Testing a Hypothesis When the Sample

Size Is Not Fixed in Advance 44.74

Drawing Conclusions from Tests of

Hypotheses 44.77

Determining the Sample Size Required

for Testing a Hypothesis 44.78

Relation to Confidence Intervals 44.79

Standard Cases 44.80

Statistical Significance versus Practical

Significance 44.80

ADDITIONAL STATISTICAL TOOLS 44.81

Transformations of Data 44.81

Monte Carlo Sampling Methods 44.84

Bootstrap Methods 44.84

The Generalized Bootstrap 44.85

Clustering and Discrimination 44.86

Heteroscedastic Discrimination 44.86

Selection of the Best versus Testing

Hypotheses 44.87

REGRESSION AND CORRELATION 

ANALYSIS 44.88

Simple Linear Regression 44.91

Residuals, Outliers, Confidence and

Prediction Bands, Extrapolation; Lack of

Fit—Replicated Observations 44.96

Confidence Intervals 44.97

Multiple Regression 44.98

REFERENCES 44.108

SECTION 45 STATISTICAL PROCESS CONTROL

Harrison M. Wadsworth

INTRODUCTION 45.1

Definitions 45.2

Notation 45.2

THEORY AND BACKGROUND OF 

STATISTICAL PROCESS CONTROL 45.2

STEPS TO START A CONTROL CHART 45.4

CONSTRUCTING A CONTROL CHART FOR

VARIABLES FOR ATTAINING A STATE OF

CONTROL (NO STANDARD GIVEN

CHARTS) 45.5

X and R Charts 45.5

s Charts 45.7

INTERPRETATION OF CONTROL CHARTS

45.7

CONTROL CHARTS FOR INDIVIDUALS 45.10

Computing the Control Limits 45.11

Moving Range 45.11

Standard Deviation 45.11

CONSTRUCTING CONTROL CHARTS FOR

VARIABLES WHEN A STANDARD IS

GIVEN 45.12

CONTROL CHARTS FOR ATTRIBUTES

45.12

Control Charts for Percentage

Nonconforming (p) 45.12

Control Charts for Number of

Nonconforming Items (np) 45.14

Control Charts for Number of

Nonconformities (c) 45.15

Control Chart for Number of

Nonconformities per Item (u) 45.15

CUMULATIVE SUM (CUSUM) CONTROL

CHARTS 45.17

Construction of a CUSUM Control Chart

for Averages 45.17

CUSUM Limits Using the Tabulation

Method 45.20

THE EXPONENTIALLY WEIGHTED MOVING

AVERAGE CONTROL CHART 45.20

SHORT-RUN CONTROL CHARTS 45.23

BOX-JENKINS MANUAL ADJUSTMENT

CHART 45.24

MULTIVARIATE CONTROL CHARTS 45.25

PRE-CONTROL 45.25

STATISTICAL CONTROL OF AUTOMATED

PROCESSES 45.27

Software for Statistical Process Control

45.27

REFERENCES 45.28

SECTION 47 DESIGN AND ANALYSIS OF EXPERIMENTS

J. Stuart Hunter

with Mary G. Natrella, E. Harvey Barnett,

William G. Hunter, and Truman L. Koehler

SECTION 48  RELIABILITY CONCEPTS AND DATA ANALYSIS

William Q. Meeker

Luis A. Escobar

Necip Doganaksoy

Gerald J. Hahn