As a proxy for the natural logarithm of labor, we utilize the hypothesis that hours worked are stationary around a time trend, as in DeJong and Whiteman (1991), Dreger and Herzer (2013), and Leybourne (1995).
Both the univariate probit and the recursive bivariate probit models are utilized to test this hypothesis.
A case-control methodology could be utilized to test this hypothesis.
We then utilize this data to test six hypotheses, drawn from the energy studies literature, related to energy systems, energy policy and regulation, and technological learning.
Our data support the hypothesis that cells utilize this small class of RNAs to respond to external cues in their microenvironment, employing surface receptors like integrins as intermediates in the delivery of key information.
This is followed by the generation of more complex models utilizing the hypotheses retrieved in the previous step.
Molecular dynamics simulations were utilized to begin testing this hypothesis.
We use a data-driven approach to evaluate this hypothesis, utilizing kinematic, kinetic, electromyographic (EMG), and metabolic data taken from five participants walking at self-selected speed.
WSRs test is a nonparametric test that utilized in a hypothesis testing situation involving a design with two samples [42].
We explore this hypothesis, utilizing survey data collected from a sample of university students, in Davis California.
Here, we tested this hypothesis utilizing several in vitro and in vivo approaches to examine a potential role for the ColV plasmid in the colonization, fitness, and virulence capabilities of S. Kentucky strains in chickens.
