We begin with the familiar primary input-output equation describing quantity relationships and its associated dual-price equation.
We modeled the detection probability (p) as a constant (constant), as a function of tick race (tick race), and as a function of the bacteria quantity index using both linear (quantity) and quadratic (quantity) relationships.
This broader concept may be the reason why the phenomenon has many names: "manufacturing progress function," "cost-quantity relationship," "cost curve," "experience curve," "efficiency curve," "production acceleration curve," "improvement curve," and "performance curve". Such terms are more commonly used in writing than in conversation, where the term "learning curve" predominates.
If a line (such as a price-quantity relationship) is estimated to have a slope of 0.5, it might truly be 0.6 with some noise in the data concealing the true relationship.
With the Brazilian test method, the quantity-relationship between the displacement and the elastic modulus was derived.
Cost-quantity relationships differ a lot across products belonging to sectors with different "technological intensities".
These attributes are the quantity of relationships (structure and nature), the quality of relationships (norms of trust and reciprocity) and the degree of social influence in vulnerable urban settings.
This article summarizes evidence linking the quality and quantity of relationships with gene expression, intracellular signaling mechanisms, and inflammatory biomarkers, and highlights the biological and psychological pathways through which close relationships impact inflammatory responses.
Another paper published in March 2015 found a similar pattern: The quantity of relationships in one's 20s and the quality in one's 30s predicted higher well-being and less depression and anxiety decades later (although this particular study found no health effects).
This procedure has been followed for the plots depicted in Figures 11, 12, 13 and 14. Figure 12 Quantity-distance relationship.
