Sentence examples for sound inference from inspiring English sources
The phrase "sound inference" is correct and usable in written English.
It can be used when discussing conclusions or deductions that are logically valid and based on reliable evidence or reasoning. Example: "After analyzing the data, we can make a sound inference about the trends in consumer behavior."
This principle allows a sound inference even in the presence of uncertain evidence.
DSSTools provides modular design, a flexible knowledge representation scheme, and sound inference mechanisms to support development of any knowledge based system components of a DSS.
As argued by Howson (2000) and Howson and Urbach (1993), the Bayesian's aim is not to determine an intersubjectively binding degree of confirmation, but to provide sound inference rules for learning from experience.
Those defenders of the analogical inference who accept that it is an inference based on one case, obviously insist also that the analogical/hypothetic inference remains a sound inference.
A programming environment for developing complex decision support systems (DSSs) should support rapid prototyping and modular design, feature a flexible knowledge representation scheme and sound inference mechanisms, provide project management, and be domain-independent.
Another author who is aware that sound inference must be based on a relation between the proposition and the ground is Vātsyāyana (5th century CE), also known as Pakṣalisvāmin, the author of the Nyāya-bhaṣya, the earliest extant commentary on the Nyāya-sūtra.
As much as it pleases me to see statistical data introduced in the Supreme Court, the act of citing statistical factoids is not the same thing as drawing sound inferences from them.
In selecting a location to conduct trading related activities, it is recommended that a strategy-performance relationship is used to make sound inferences (Martin 2013).
That being the case, there is no method to establish any kind of valid relationship between two particulars which could allow us to draw any sound inferences from single-instantiated cases.
Drawing sound inferences from such experiments relies on appropriate mathematical methods to model the distribution of reads along the genome, which has been challenging due to the scale and nature of these data.
The purpose of MI is to make sound inferences when one bases statistical analyses on imputed data.
