The phrase "ad hoc comparison" is correct and usable in written English.
It is typically used in contexts where a comparison is made for a specific purpose or situation, often without a formal or systematic approach.
Example: "The researchers conducted an ad hoc comparison of the two methods to determine which was more effective in this particular case."
Alternatives: "case-by-case comparison" or "specific comparison".
There were no significant differences in similarity comparisons between any of the strategies (mean P-value for ad hoc comparisons =0.055), with the majority of strategies being around 50% similar to each other.
Species relationships among Families of Lepidoptera were obtained from published estimates [ 33], and used to make ad hoc comparisons to the obtained Hel-2 phylogeny for qualitative description of distributions of lepidopteran species in well-supported TE clades.
Fruit set and seed set were respectively log- and square-root transformed before the analyses and, when necessary, analyses were followed by ad-hoc comparisons using the Scheffe test or the t-test.
This protocol is created ad hoc for comparison with sociable routing.
In the simulations, we denote our proposed DAC algorithm as best constant (BC) high-order DAC algorithm and choose two types of ad hoc weights as comparison: maximum degree (MD) and metropolis hasting (MH) weights [13].
If significant differences were observed between the groups, multiple comparison ad hoc tests were performed using the least-significant difference (LSD) pair-wise multiple comparison test for variables with equal variance (p > 0.05) and Dunnett's T3 test for variables with an unequal variance (p ≤ 0.05).
If differences were observed, multiple comparison ad hoc test were performed using the least significant difference (LSD) pair wise multiple comparison test for the variables with equal variance (p > 0.05) and Dunnett's T3 test for the variables with an unequal variance (p ≤ 0.05).
In "A localized fault detection algorithm for mobility management in the strongly t-diagnosable wireless ad hoc network under the comparison model" [4], Kung et al. develop a localized algorithm for detecting faulty nodes in strongly one-step t-diagnosable wireless ad hoc networks (WANETs).
When ANOVA showed statistical significant differences complementary multiple comparison ad hoc tests was performed.
When ANOVA indicated significant group difference complementary multiple comparison ad hoc tests were used.
