Abstract
Censored, grouped, ordinal, binary, and count data are often collected in industrial experiments. The paucity of data in typical industrial experiments results in estimability problems when fitting popular regression models to these data types. We present a FORTRAN program, MLECHK, which checks for the existence of maximum likelihood estimates. Dr. Hamada is a Research Scientist. He is a Member of ASQC.
| Original language | English |
|---|---|
| Pages (from-to) | 244-248 |
| Journal | Journal of Quality Technology |
| Volume | 28 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Apr 1996 |
Research Keywords
- Fractional factorial design
- Linear programming
- Regression analysis
Fingerprint
Dive into the research topics of 'The existence of maximum likelihood estimates from designed experiments'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver