Displaying 2 results from an estimated 2 matches for "urbanisation".
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organisation
2010 Aug 25
1
SEM : Warning : Could not compute QR decomposition of Hessian
...;, 'pop99',
'rev_imp_foyer','eq_CONC', 'eq_sante', 'eq_edu', 'sold_nat',
'sold_mig', 'tps_dom_emp','TXEMPLOI','ORIECO','dist_paris','axe1',
'axe2', 'axe3', 'dist_protect','urbanisation','pays_incli','pays_alti'))
# after comes the moment matrix (triangular)
ram_tab<-specify.model()
type_paysage->pays_alti,NA,1
type_paysage->pays_incli, pays2, NA
pedo->reg_hydriq, NA, 1
pedo->prof_sol, ped8, NA
pedo->pierro, ped9, NA
pedo->efferv, ped10, N...
2003 Aug 18
1
R and Poisson
...om
AIC: 883.8
Number of Fisher Scoring iterations: 4
Explanation and Questions raised.
The dependent variable is:
Number of children born in last 5 years: (values range from 0 to 3).
Distribution of dependent variable (named CB95TO00)
0 203
1 157
2 59
3 2
Predictors are:
Level of Urbanisation (3 categories 1: Rural; 2:Semi-Urban; 3: Urban)
Income Level (3 categories: 1: Low; 2:Medium; 3: High)
The questions are (1) how does one interpret the coefficients in the output:
Our interpretation is Urb2 compared to Urb1 gives an estimate of .02253;
Urb3 compared to Urb1 gives a parameter est...