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1 4 dimensional vibrational Schrödinger equations were solved using the discrete variable representation method.
The logistic models were therefore fitted using non-linear mixed models in R 2.6.2 [57] using the discrete variable y as a random grouping variable indicating weather year (see [58] for details).
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Data was adjusted for age (as a continuous variable at baseline) and marital status (using the discrete variables of married, divorced/widowed or never married).
This paper studies the application of using the discrete-time variable structure control method to reduce the vibration of the flexible structure.
By using the IPFA, the discrete variables are adjusted continuously firstly, then the calculation results of discrete variables are fixed on the nearest rounding value.
Between-group differences in growth parameters, and energy and protein intakes were analysed using Student's t test or the Mann-Whitney test; the chi-squared test was used to compare the discrete variables.
To assess differences, the chi-square test with Yate's correction or Fisher's exact test was used to compare the discrete variables; the Student's t-test or Mann–Whitney rank sum test was used to analyze continuous variables.
To assess differences, the chi-square test with Yate's correction or Fisher's exact test was used to compare the discrete variables, while the Student's t-test or Mann–Whitney rank sum test was used to analyze continuous variables.
Unfortunately, the methodology we use restricts us to using discrete variables for the sensitivity analysis.
Chi-square test was used to analyse relations between the discrete variables.
Because hours of work are modeled using a discrete variable, the estimation problem can be formulated as a multiple-choice problem.
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