In the examples given in Section 1, in particular [13 17], the problems could have been formulated similarly using a Bayesian approach because the probabilities used to define the hypotheses were well-defined.
In the following we define the hypotheses for the router, define the individual experiments, and present the gathered results.
To extend the original analysis [27], we define the hypotheses listed in Table 7 (namely, H1, H2, H3 and H4).
They should explain the choice of molecular data, list open questions that motivated the study, and define the hypotheses to be tested.
The modeling of biological processes starts with defining the hypothesis to be tested in an experiment.
Although the role of this pathway in the pathophysiology still needs to be clearly defined, the hypothesis was raised that excessive thiol oxidation is a key feature leading to demyelination and neurodegeneration in YG8R mice.
Based on above mentioned discussions, we define the first hypothesis as below: H1: There is a meaningful relationship between entrepreneurial competencies and business performance.
(3 Equation (3) represents the nonlinear Granger-causality test, where '~' indicates equality in distributions and (k ge 1).11 Then, by following Hiemstra and Jones (1994), we can define the null hypothesis of Granger non-causality as: (H_{0} :left{ {X_{t, } } right}) is not Granger causing (left{ {Y_{t,} } right}).
It is improved on page 13, when the authors define the working hypothesis.
Define the null hypothesis, h0, as the absence of SV of size δ.
