Sentence examples for user hypothesis from inspiring English sources

To evaluate the probability of false alarm versus the probability of detection we have run 200 simulations, each in the presence of the primary user (Hypothesis H1), and 200 records of the same length without the primary user (Hypothesis H0).

Pd and Pf are defined as the probabilities that a sensing algorithm detects a primary user under hypothesis H1 and H0, respectively.

The variance of the signal received at each secondary user under hypothesis H0 is σ n 2, while that under H1 is given by σ hn 2 = σ h 2 E s + σ n 2. (2..

Prior to beginning our study, we anticipated that statin users would have less severe acute gallbladder inflammation, fewer stones in the common bile duct and more frequent laparoscopic cholecystectomy than non-users; this hypothesis proved wrong.

For PF which denotes the probability of detecting that the licensed user under the hypothesis H 0, the expression can be given as[24] P f = P ( T ( y ) > ε ( N ) | H 0 ) = P T ( y ) / σ u 2 - N 2 N > ε ( N ) / σ u 2 - N 2 N | H 0 ≈ Q ε ( N ) / σ u 2 - N 2 N. (4).

In addition, considerable effort is necessary on the part of the user if the hypothesis warrants unusual or novel bin features.

Importantly, BraMRs facilitates the functional enrichment analysis of predicted miRNA targets, allowing the user to develop hypotheses regarding miRNA function.

Users generate a hypothesis prior to performing an analysis, and in the case of collapsing algorithm; this includes choosing how bin boundaries are determined.

The organization of the data also allows the user to generate hypotheses concerning the role of the tissue type, local anatomic site, or even particular cancer type in promoting genetic mutations that lack high multiplicity.

While this allows us to address the shadow profile hypothesis, larger user samples can quantify individual demographic markers in user biographical texts [21].

Based on the study hypothesis, the user selects binning features and BioBin creates appropriate feature level bins using information from one or more of the databases in our integrated database, call the Library of Knowledge Integration (LOKI).