Sentence examples for losing information about from inspiring English sources
To ignore the process behind these measurement errors may result in losing information about the functioning of individuals and their perceptions of the world.
Thus, together with its generators, it can be used to uniquely determine all frequent itemsets in the same class without losing information about their supports.
Four composite needle samples were obtained from each site, corresponding to needles of four different age classes (1-year-old, 2-year-old, 3-year-old and fallen needles), as described in Prihatini et al (2015b), to reduce the number of cloning reactions without losing information about the effect of needle age on fungal communities.
Because a black hole eventually achieves a stable state with only three parameters, there is no way to avoid losing information about the initial conditions: the gravitational and electric fields of a black hole give very little information about what went in.
The use of ratios might have the disadvantage of losing information about individual expression values.
Nevertheless, the assumptions made allow us to approximate the aforementioned processes, simplifying the network without losing information about system behaviour at the level we intend to model.
In addition, the frequent itemsets generated can lose information about their supports.
On the other hand, this algorithm loses information about the movement of the object or location information.
Aggregating information to larger groups loses information about individual species but is a robust method for surveying small, cryptic organisms such as crusts (Eldridge and Rosentreter 1999) and preserves important trends in composition (McCune et al. 1997).
Thus, for such a type of dataset, considering only the cross-sectional features of data will lose information about time dynamics, whereas conducting only a time series analysis will overlook the country/region-level cross-sectional heterogeneities.
Second, particularly regarding analysis of items and reliability, we lost information about the basic theories that support the scale development process: classical test theory (CTT known as classical psychometry and item response theory (IRT known as modern psychometry (PASQUALI 2010).
