𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Estimation of Heritability for Samples from Non-Normal Situations

✍ Scribed by Dr. R. A. Singhal; Dr. J. P. Jain


Publisher
John Wiley and Sons
Year
1986
Tongue
English
Weight
350 KB
Volume
28
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.

✦ Synopsis


Bummary

Mathematical expressions, to irvebtigate the effects cf mcderate departure from ncrmality assumption on the point estimate and an the prcbabilitg of getting a negative estimate of genetic heritability, in a balanced situation, have been derived. The numerical results show thatthepoint estimate is over sensitive whereas t h e probability of a negative cbtimate is inEensitive to this violation.


πŸ“œ SIMILAR VOLUMES


Estimating the incidence of dementia fro
✍ Sujuan Gao; Siu L. Hui πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 82 KB πŸ‘ 1 views

Two-phase sampling designs have been used in the ΓΏeld of psychiatry to estimate prevalence and incidence of a rare disease such as dementia and Alzheimer's disease. In a longitudinal study on dementia, since the repeated two-phase sampling is conducted several years after the baseline wave, some sub

Comparison of acid and amyloglucosidase
✍ Kozloski, Gilberto V; Rocha, JoοΏ½o BT; Ribeiro Filho, Henrique M?N; Perottoni, Ju πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 95 KB πŸ‘ 1 views

Enzymatic methods (amyloglucosidase) and methods based on acid solutions (0.1, 0.2 and 0.3 M H 2 SO 4 for 1, 2 and 3 h at 100 Β°C) for the hydrolysis of non-structural carbohydrates from different feed samples were compared. The monomeric units resulting from the enzymatic and acid hydrolysis were de

Regression equations for estimating stat
✍ Formicola, Vincenzo; Franceschi, Marcello πŸ“‚ Article πŸ“… 1996 πŸ› John Wiley and Sons 🌐 English βš– 45 KB πŸ‘ 2 views

Regression equations for estimating living stature from long bone lengths have been calibrated on a sample of European Neolithic skeletons (33 males and 27 females) by using both least-squares (model I) and majoraxis (model 11) regression techniques. Stature estimates of the skeletal sample have bee