"statistical interval" is a correct and commonly used term in written English.
It refers to a range of values within which a statistical data or estimate is considered to be accurate or representative. Example: The study found that the average income for women in the city was between $50,000 and $70,000, with a 95% statistical interval. This means we can be 95% confident that the true average income falls within this range.
In apple, Md-PG1, a key gene belonging to the polygalacturonase gene family, was mapped on chromosome 10 and co-localized within the statistical interval of a major hot spot QTL associated to several fruit texture sub-phenotypes.
The prediction interval is a statistical interval, which provides (1 − α 100% confidence of the next single observation at the true analyte concentration, whereas the confidence interval provides the reliability of an estimate with the range that includes the true value at a given confidence level.
A non-linear fit was performed including multi-dimensional statistical intervals (±95 %) permitting visual comparison of outcomes at their own baselines.
The LSSUS concept results primarily from the designation of statistical intervals of quasi-stationarity and quasi-nonstationarity over which the WSSUS and LSSUS assumptions can be jointly defined.
Both statistical intervals have their own advantages.
For uncertainties that cannot be expressed in statistical intervals, other characterizations of likelihood can be used.
The detection limit theory is the experimental and analytical strategy to investigate LOD or LOQ of a specific instrument in a specific condition, using linear regression approach with statistical intervals (e.g., prediction or tolerance interval).
There are three common types of statistical intervals: confidence, prediction, and tolerance [ 34]: Confidence limits describe the interval of certainty around a mean value (or mean difference between two groups).
LOD and LOQ based on the detection limit theory using linear regression with statistical intervals have been applied to various detection systems, for example, mass spectrometer for proteomic quantification [ 19].
Two statistical methods, interval mapping (IM; Zeng 1993) and composite interval mapping (CIM; Zeng 1993, 1994) were used in our QTL analysis.
The error estimate may be derived from a statistical confidence interval, or from a plausible extension of a confidence interval as discussed by Grassly et al[ 32], or from other professional judgment.
