The phrase "a few values which" is correct and usable in written English.
It can be used when referring to a small number of specific values in a context, such as data analysis or programming.
Example: "In our analysis, we identified a few values which significantly impacted the overall results."
Alternatives: "several values that" or "a handful of values which".
The profile of the scale of segregation leads to a few typical values, which perhaps, can be related to particular features of the mixing mechanisms in the extruder.
In many practical problems appears the need to process simultaneously a few numerical values which are provided by some sources (possibly of different natures) with the aim of making a decision in order to elaborate a plan of action or to solve a problem.
However, there were only a few missing values, which confirms that the PRWE is user-friendly.
This left a few missing values, which were replaced with their series mean to evade losing additional data.
Only 5%% of the respondents had a few missing values which were substituted through Expectation Maximization, assuming missing at random [ 31].
This is in fact the optimization procedure, and we denote this optimal quantity by L ̂ ( N ) Open image in new window: for a few values of N, we compute ∊(N,L) which invariably has an inflection point in the periodic boundary condition.
SF6D also shows a more continuous and normal value distribution than EQ5D and HUI3, which often have very skewed distributions or distributions clustered around a few values.
Think Southwest Airlines, which disrupted the entire airline industry by excelling in just a few value factors: cheap fares, friendly service, frequent flights and on-time departures.
Partitioning according the genetic distances increased the logL values by a few hundred logL values, which was still a statistically significant improvement.
The instrument should also be acceptable to respondents with few missing values, which was indicated with the high response rate of 72% in the present study, and showing only one or few missing values among the participants in both questionnaires.
