James E Grizzle
Biographic Data
| ID | 8845341 |
|---|---|
| NAME | James E Grizzle |
| GIVEN NAMES | James E |
| FAMILY NAME | Grizzle |
| SIGNATURE | GRIZZLE J E |
| AFFILIATIONS | Department of Biostatistics, University of North Carolina School of Public Health, Chapel Hill, N. C. |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1963 |
| LATEST PUBLICATION YEAR | 1969 |
| H-INDEX | 0 |
Analysis of Categorical Data by Linear Models
Assume there are ni., i = 1, 2, *--, s, samples from s multinomial distributions each having r categories of response. Then define any u functions of the unknown true cell probabilities {7rij: i = 1, 2, * , s; j = 1, 2, * , r, where E jrij l 1 } that have derivatives up to the second order with respect to 7rij, and for which the matrix of first derivatives is of rank u. A general noniterative procedure is described for fitting these functions to …
Birth weight, gestation, and crown-heel length as response variables in multivariate analysis
Birth weight, gestation, and crown-heel length as response variables in multivariate analysis. J R Abernathy, B G Greenberg, J E Grizzle, and J F DonnellyCopyRight https://doi.org/10.2105/AJPH.56.8.1281 Published Online: August 29, 2011
Tests of Linear Hypotheses When the Data Are Proportions
Tests of Linear Hypotheses When the Data Are Proportions James E. Grizzle, Assistant Professor of BiostatisticsPh.D. CopyRight https://doi.org/10.2105/AJPH.53.6.970 Published Online: August 29, 2011
No prominent works on this page.
Tests of Linear Hypotheses When the Data Are Proportions
Tests of Linear Hypotheses When the Data Are Proportions James E. Grizzle, Assistant Professor of BiostatisticsPh.D. CopyRight https://doi.org/10.2105/AJPH.53.6.970 Published Online: August 29, 2011
Birth weight, gestation, and crown-heel length as response variables in multivariate analysis
Birth weight, gestation, and crown-heel length as response variables in multivariate analysis. J R Abernathy, B G Greenberg, J E Grizzle, and J F DonnellyCopyRight https://doi.org/10.2105/AJPH.56.8.1281 Published Online: August 29, 2011
Analysis of Categorical Data by Linear Models
Assume there are ni., i = 1, 2, *--, s, samples from s multinomial distributions each having r categories of response. Then define any u functions of the unknown true cell probabilities {7rij: i = 1, 2, * , s; j = 1, 2, * , r, where E jrij l 1 } that have derivatives up to the second order with respect to 7rij, and for which the matrix of first derivatives is of rank u. A general noniterative procedure is described for fitting these functions to …
Mathematics (3 works) · Statistics (3 works) · Statistical Methods in Clinical Trials (2 works) · Advanced Statistical Methods and Models (1 works) · Anatomy (1 works) · Anatomy (1 works) · Applied Mathematics (1 works) · Biology (1 works) · Categorical variable (1 works) · Combinatorics (1 works)