Table-3: Multivariate analysis
for studying the effect of various variables on PPD.
The multivariate analysis
of variance indicated that inheritance of characters in wheat is predominantly governed by the additive-type genetic variance.
Many of the classic multivariate statistical topics are covered, including the multivariate normal distribution, multivariate classification, multivariate analysis
of variance, principal components, canonical correlation, and factor analysis.
Applying a multivariate analysis
to these same variables, the best predictors were found to be the presence of preoperative risk factors and the presence of multiple lesions (p[less than]O.
But recent access to high-speed micro-computers with larle memory capacities has opened up new possibilities for food scientists to compare food samples using GC information coupled with computer multivariate analysis
This multivariate analysis
can allow for measurable variables other then the receipt of VR services, which may influence the duration of employment or unemployment.
The articles include a review of the literature on infant mortality; a multivariate analysis
to assess the relative contribution of vaccination, birth attendants, mothers' literacy and poverty in explaining interstate variations in infant mortality; an examination of the correlates and determinant of infant mortality and a review of the analytical frameworks and methodological issues involved in studying the determinants of infant mortality.
The book also serves as a valuable reference for professionals and researchers in the social, behavioral, and health sciences who would like to learn more about multivariate analysis
and its relevant applications.
of variance identifies the phenomenon of mutual dependence between response variables.
Next, they conducted a multivariate analysis
, with feeling lonely as the dependent variable and having/having had epilepsy, gender, low family income, and living with a single parent as independent risk factors.
Topics discussed include data coding and exploratory analysis, reliability measurements, exploratory factor analysis, interpreting inferential statistics, multiple regression, discriminate analysis, factorial ANOVA, and multivariate analysis
Second, a multivariate analysis
shows that boys and rural children are far more likely to be enrolled.