As will be explained in greater detail below, this approach to dynamical modeling allows the estimation problem to be reduced to one of regression, which carries both statistical and computational advantages.
Yet, for the growing numbers of mission-educated Africans and Coloured and for Indian communities in Southern Africa, the period was probably one of regression rather than advance.
Subsequently, we estimate covariate effects on the response variable using one of four regression models: the linear regression model, the beta regression model, the (double-index) variable-dispersion beta regression model and the fractional logit regression model.
During one interval of regression, fluvial sandstones and conglomerates were deposited along with fluvio-lacustrine sandstones and claystones that include weakly developed paleosols.
Using test case prioritization, which is one type of regression tests, ordered test suites such as (T_{3}, T_{5} ldots T_{1}) are obtained from some tests (T_{i} ldots T_{n}).
Models that provide one set of regression coefficients for the binomial distribution and Poisson (or other) distribution combined are known as two-part joint regression models [ 19- 22].
The correlation coefficients of the result of permutations (green and blue histograms, respectively; see Supplementary Figure S6 online) did not become higher than the one of the regression model based on U0126 and wortmannin with the gefitinib profiles, which indicates P value for the occurrence of such high correlation coefficient is <1 × 10−5.
Hierarchical regression analysis was conducted to test Hypothesis 3. In step one of our regression analysis, all control variables were entered.
Because FDA reduces the parameter estimation problem to one of nonlinear regression, standard methods for approximate computation of posteriors over parameters in nonlinear regression could be applied [ 34].
The control variables (i.e., age, job demands, autonomy, and social support) were entered in step one of the regression and the exposure variables (number of hours on-call per month, number of active on-call hours per month, and average number of calls per duty) were entered as predictors in step two.
Since the exact value of the rate constant is often not known in practice, however, it seems to be better to resort to one of the regression algorithms for finding the diffusion coefficient in general.
