cluster variables

cluster variables

[¦kləs·tər ¦ver·ē·ə·bəlz]
(astronomy)
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As a possible solution, statistical methods such as PC analysis are applied in order to construct artificial cluster variables determined by the implicit weights of a set of microeconomic indicators.
Strata and cluster variables are publicly available in SIPP data files as GVARSTR and GHLFSAM, respectively (U.
The signs of the coefficients of cluster variables are as expected, even it it is difficult to compare trends of magnitudes of coefficients.
The cluster algebra is the algebra generated by all cluster variables, after mutation is repeated ad infinitum.
Furthermore, different types of cluster variables are used simultaneously in the cluster analyses below.
00% Table 4: Descriptive Statistics for Clusters and Sample Cluster Cluster One Two (n=90) (n=184) Cluster Variables Funds per FTE $1,494,431 $467,315 Funds per Donor $7,169 [$1,326.
To determine the conceptual model of measuring innovation for competitiveness (ex post) based on the design of cluster variables (CDV), which allows the managers of these companies to recognize, evaluate, decide, and implement actions that transform such organizations to be competitive, the study concluded:
Any cluster algebra comes equipped with a distinguished set of generators called cluster variables which are grouped into finite overlapping subsets called clusters, all of which have the same cardinality.
37) Ethnicity African American 56% White 33% Hispanic 5% Bi-Racial 6% Gender Male 89% Female 11% Medicaid Eligible 56% Ever Been Victimized 53% Ever Charged with Domestic Violence 45% Alcohol Abuse/Dependence Diagnosis 54% Marijuana Abuse/Dependence Diagnosis 92% Comorbid for DSM-IV Mental Health Diagnosis 51% * Significantly higher proportion, p<05 TABLE 2 Mean Scores on Cluster Variables by Cluster Total GAIN-1 Cluster Variables N = 114 Substance Problem Scale (past month) 3.
Bivariate correlations between the two industry cluster variables and the two indicators of economic performance were calculated in SPSS.
Cluster analysis leads to the formation of maximally homogeneous types that are maximally distinct from all other types on the cluster variables.