"description error" is a correct and usable phrase in written English.
It is typically used to refer to a mistake or inaccuracy in how something is described. This could apply to a product, event, or situation where the information provided is incorrect or misleading. Example: The brochure for the new phone model had a description error, stating that it had a battery life of 10 hours when it actually only lasted for 5 hours. This caused frustration among customers who were expecting a longer battery life.
Participants were instructed by a trained investigator [BBA], who also reviewed all food records with each participant to address unclear descriptions, errors, omissions, or doubtful entries.
Defects in title may include invalid powers of attorney, deeds by minors, improperly recorded documents, undisclosed heirs, gaps in the chain of title, false impersonations, incorrect legal descriptions, errors in the tax records, IRS or other tax liens and even forged documents.
They serve as basic elements and structures in varied fields of Metrology (chemical analysis, environmental investigation, medical imaging, particle observation, flow measurement, surveying), for modelling, description, simulation, error and uncertainty analysis, reconstruction, filtering, verification, and so on.
Based on the brief description about error propagation in the network, it is easy to see that the key factor is to reduce the number of propagated error.
In "Use of climatology to assess errors in previous assumptions" section, a brief description of errors associated with previous conductivity estimates is provided, a discussion is included in "Conclusion" section, and information on obtaining the data is given in "Availability of data and materials" section.
sqlldr will fill the log file with relevant information about the bulk load operation, such as the number of tuples loaded, and a description of errors that may have occurred.
Modern scientific software engineering means many things to many people, but in its cluster of distinguishing characteristics are abstract interface definition, object orientation, componentization, self description, self-error checking, self-performance monitoring, and design for performance, portability, reusability, and extensibility.
The majority of examined distances to models provided significantly lower statistical scores (bootstrap test, p<0.05) for description of errors when using a mixture of Gaussian distributions.
The description of errors in replication initiation of a common fragile site but not in its replication progression (76), shows that sequence repetition not necessarily creates fragile DNA.
See the tutorial available from the server home page for a complete description of errors and warnings and for more information about input requirements.
