The phrase "a population of items" is correct and usable in written English.
It can be used in contexts such as statistics, research, or inventory management to refer to a group of items being studied or analyzed.
Example: "In our study, we focused on a population of items that included various types of consumer electronics."
Alternatives: "a group of items" or "a collection of items".
The Netflix Prize was a challenge to predict how a population of users would rate an inventory of items, using user-volunteered item-ratings.
In this paper, we assume that the population of items is composed of two ordered subpopulations and the elimination of weak items by using environmental shocks is considered.
For instance, it is shown that it can be reasonable to perform burn-in even when the failure rate function that describes the heterogeneous population of items increases and this is one of the main and important findings of our study.
The calculated cost of purchasing all essential items for a population of 500,000 amounted to ≈$11 million.
Further research is required to identify the items which a population of stroke survivors with visual impairment consider to be of most importance.
In particular, for low scoring scales such as the Helplessness-Hopelessness subscale, it may be informative to further explore the relevance of these items to a population of long-term survivors.
Since the PACIC will be applied to a population of elderly persons, the disease-related items in the Dutch version of the PACIC [ 52] will be rephrased into questions more suitable for an ageing population.
The aim of this final stage was to check the understanding and interpretation of the translated items in a population of Dutch patients with arthritis and thereby validate the conceptual equivalence between the US and Dutch versions.
The geriatric inclusion criteria combined age, the Charlson score (Charlson et al, 1987), comorbidity and PS and geriatric items, to select a population of fit elderly patients (Table 1).
One important methodological concern in many previous neuroimaging studies on word recognition is that the statistical analysis methods employed assess the consistency of activation differences between two classes of words over a population of subjects, but do not assess the consistency (or otherwise) of activation differences over a population of linguistic items.
