Modeling a response with self-generated and externally generated sources of variation

Quality Engineering

Volumn 14, Issue 4, 2002, Pages 563-578

  Shore, Haim ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

Fatigue life; Generalized linear modeling; Inverse normalizing transformations; Nonnormal populations; Software reliability growth; Vapor pressure modeling

Indexed keywords

DATA HANDLING; ERROR ANALYSIS; PROBLEM SOLVING; RANDOM PROCESSES; RELIABILITY;

INVERSE NORMALIZING TRANSFORMATIONS (INT);

QUALITY CONTROL;

EID: 0036611095     PISSN: 08982112     EISSN: None     Source Type: Journal    
DOI: 10.1081/QEN-120003559     Document Type: Article

References (28)

1. General control charts for variables
2. Time-dependent error-detection rate model for software reliability and other performance measures
3. Nonhomogenous error detection rate models for software reliability growth
4. Learning curve approach to reliability monitoring
5. On some reliability growth models with simple graphical interpretations
6. Solving ML equations for 2-parameter poisson-process models for ungrouped soft-ware-failure data
7. The generalized power family in software reliability data analysis
8. Software reliability models - Past, present and future
9. Estimating fatigue curves with the random fatigue-limit model
10. Statistical evaluation of fatigue strength in circular-holed notched specimens of a carbon eight-harness-satin/epoxy laminate
11. Modeling physical and thermodynamic properties via inverse normalizing transformations
12. Memoirs on the motive power of heat
13. Thermodynamics, vapor pressure: A new relation between vapor pressure and temperature
14. A new universal formula for vapor pressure
15. New vapor pressure measurements for argon and nitrogen and a new method for establishing rational vapor pressure equations
16. Correlation and prediction of the vapor pressure of pure liquids over large pressure ranges
17. A new corresponding-states group-contribution method (CSGC) for estimating vapor pressure of pure compounds
18. Internally consistent prediction of vapor pressure and related properties
19. Estimating pure component vapor pressures of complex organic molecules
20. Three approaches to analyze quality data originating in non-normal populations
21. Inverse normalizing transformations and a normalizing transformation
22. Modeling a non-normal response for quality improvement
23. A tutorial on generalized linear models