The phrase "analysis of the marginal" is correct and usable in written English.
It can be used in contexts related to economics, statistics, or any field where marginal analysis is relevant, often discussing the impact of small changes in variables.
Example: "The analysis of the marginal cost revealed that increasing production would lead to diminishing returns."
Alternatives: "examination of the marginal" or "study of the marginal".
Further statistical analysis of the marginal mean values of the material VOC time for the three significant effects shows that: (1) The material VOC time decreases rapidly as the diffusion coefficient increases.
The descriptive analysis of the marginal distributions found in Fig. 3 shows that the species have different marginal characteristics.
An analysis of the marginal likelihoods indicated that the relaxed lognormal molecular clock and constant population size model was chosen for all datasets.
We performed an analysis of the marginal features of the average signal within each ROI by assessing such characteristics as the global shape of the distribution as well as its mean and variance.
Interpretation of effects in the analysis of the marginal model should be made with caution, as the outcome and exposure were measured at the same time.
An analysis of the marginal likelihoods indicated that the relaxed lognormal molecular clock and constant population size model was decisively chosen (log10 Bayes factors = 3.032 for S segment; 13.472 for L segment).
The case is useful for the analysis of the response of marginal actors to the introduction of a new health innovation.
For example, in the analysis of the combined samples, the marginal p values of the ULR-NOMINAL analysis of the four SNPs were 0.0007, 0.0004, 0.0017 and 0.0260, respectively (see Table 3).
Becker goes on to develop a more general analysis where the marginal cost of time varies across activities.
The primary analysis was the marginal rate of substitution (MRS) between journey time and all other attributes i.e. the rate at which a respondent was ready to give up time to plan and make the journey for one attribute level over another.
In the current analysis of marginal stability, the kinetic effect played an important role.
