Maximum time interval error (MTIE) is the maximum error committed by a clock under test in measuring a time interval for a given period of time. It is...

Measurements of a reference timing signal will refer to its TDEV and maximum time interval error (MTIE) values, comparing them to specified masks or goals. The...

bits during a studied time interval. Bit error ratio is a unitless performance measure, often expressed as a percentage. The bit error probability pe is the...

ideally be. Maximum time interval error (MTIE) Maximum error committed by a clock under test in measuring a time interval for a given period of time. Period...

level, and by Telecordia/Bellcore standards GR-253 and GR-1244. Maximum time interval error (MTIE) is a measure of the worst case phase variation of a signal...

8 μs, 1.6 μs, and 3.2 μs guard intervals.[citation needed] The shorter guard interval results in a higher packet error rate when the delay spread of the...

inference, specifically predictive inference, a prediction interval is an estimate of an interval in which a future observation will fall, with a certain...

events (or the intervals between them), and to quantify rates of change of quantities in material reality or in the conscious experience. Time is often referred...

coherence time of the qubit is directly related to the linewidth of the lasers. Allan variance Flicker noise Leeson's equation Maximum time interval error Noise...

avoid fencepost errors. For example, a loop that iterates five times (from 0 to 4 inclusive) can be written as a half-open interval from 0 to 5: for...

a single point estimate (e.g. "the average screen time is 3 hours per day"), a confidence interval provides a range, such as 2 to 4 hours, along with...

light for the same time interval, positive intervals are always timelike. If s 2 {\displaystyle s^{2}} is negative, the spacetime interval is said to be spacelike...

it is called the standard error of the mean (SEM). The standard error is a key ingredient in producing confidence intervals. The sampling distribution...

In statistics, interval estimation is the use of sample data to estimate an interval of possible values of a parameter of interest. This is in contrast...

ML estimates Mean squared error: a measure of how 'good' an estimator of a distributional parameter is (be it the maximum likelihood estimator or some...

Bootstrapping assigns measures of accuracy (bias, variance, confidence intervals, prediction error, etc.) to sample estimates. This technique allows estimation...

ratio scale is not met (e.g., when using interval scales like Celsius temperature), the calculated relative error can become highly sensitive to the choice...

the largest relative rounding error in round-to-nearest mode. The rationale is that the rounding error is half the interval upwards to the next representable...

bounds defines the interval length; all intervals of the same length on the distribution's support are equally probable. It is the maximum entropy probability...

bursts at maximum or near maximal effort with periods of rest or low activity between bouts. The very high level of intensity, the interval duration,...

exact time interval elapsed between two UTC timestamps without consulting a table showing how many leap seconds occurred during that interval. By extension...

though sometimes unavoidable, can result in wide confidence intervals and risk of errors in statistical hypothesis testing. using a target variance for...

summary and the associated box plot. The sample maximum and minimum provide a non-parametric prediction interval: in a sample from a population, or more generally...

Type I error, or a false positive, is the erroneous rejection of a true null hypothesis in statistical hypothesis testing. A type II error, or a false...

to sampling error, and will approach a zero-width interval at the true population parameter as sample size increases, a tolerance interval's size is due...

In Bayesian statistics, a credible interval is an interval used to characterize a probability distribution. It is defined such that an unobserved parameter...

introduced what is today called a "likelihood interval"; the 1922 paper introduced the term "method of maximum likelihood". Quoting Fisher: [I]n 1922, I proposed...

approximate estimate of the bit error probability. This estimate is accurate for a long time interval and a high number of bit errors. All of the factors above...

confidence interval) and for practical reasons of measurement (measurement error). The mathematical effect can be described by the confidence interval or CI...

based on the 24-hour timekeeping system, with optional UTC offset; time intervals; and combinations thereof. The standard does not assign specific meaning...