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Reviewer #1: The authors propose an independent coding hypothesis (as compared to a coordinated assembly hypothesis), in which an essential difference lies in currently active assemblies not determining future ones in the independent hypothesis case.
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While there was hardly any difference in the null hypothesis cases, some striking differences were encountered for the non-central distributions, deserving further inspection: The LRT assumes the rowsums r v to be fixed at their observed values, therefore the fixed marginals bootstrap adopts this assumption.
On the contrary, under the null hypothesis, cases' and controls' records are indistinguishable; all permutations of scores obtained for each record are equiprobable.
(For more information about the simulation see Supplemental Material, pp. 4 5) Type I error rates were estimated for null hypothesis cases (RMAX = 0%) by evaluating the empirical proportions of trials in which the algorithm assigned a simulated null hypothesis as active (ACTIVE*[±1] or ACTIVE*[±2]).
In the multi-hypothesis case more than one estimate of f is created.
Data were analysed in relation to the context-mechanism-outcome hypotheses case by case.
Data were analysed in relation to the hypotheses case by case.
But by hypothesis this case is a canonical example of an attributive use of a definite description.
However, we find support for this hypothesis in case of overeducation (Table 5).
Theoretical framework of the paper is based on the educating environment paradigms and paper is going to examine its hypothesis in case of Yazd, Iran.
In considering this hypothesis, a case from the author's clinic is of note.
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