Three patterns of estimates were made: estimates made from logarithmic approximations of all items (logarithm-model estimation), estimates made from linear approximations of all items (linear-model estimation), and estimates made from approximations of items with higher determination coefficients (mixed-model estimation).
The linear-model estimation showed that DC, MbC, and MtC will decrease temporarily in 2014, after which they will remain mostly unchanged until 2020.
The predicted number of deaths is predicted to decrease in the linear-model estimation and increase in the logarithm-model estimation (Table 3).
According to the linear-model estimation, the COI was predicted to temporarily decrease to 145.9 billion yen in 2014, after which it is predicted to remain mostly unchanged at 144.0 billion yen in 2017 and 145.3 billion yen in 2020.
Secondly, standard Maximum-Likelihood estimation, or an equivalent generalized linear model (GLM) estimation as used by Stegeman et al. [ 4], can be applied to estimate the kernel parameters.
To accommodate light, growth, and individual positioning variation, we developed a hierarchical linear model for estimation of a background threshold (see Materials and Methods).
a. Logistic regression using generalized linear model ML estimation with the logit link, binomial distribution and total number of PRRSV PCR tests ordered representing the denominator.
The preference pattern of class 1 [ N = 47 (22.6 %)] is similar to the linear model for estimation of the main effects (relative importance).
a. Logistic regression using generalized linear model ML estimation with the logit link, binomial distribution and total number of PRRSV ELISA tests ordered representing the denominator.
Using a linear probability model estimation with marginal effects, the study shows that high incomes, being employed, having smaller household size and awareness are the significant factors that increase the willingness and the likelihood of subscribers to accept the capitation payment system.
