empirical probability

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empirical probability

[em′pir·ə·kəl ‚präb·ə′bil·əd·ē]

(statistics)

The ratio of the number of times an event has occurred to the total number of trials performed. Also known as a posteriori probability.

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a posteriori probability

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2) Estimate the probability ([P.sub.OBS]) for the observed June 2017 precipitation in the observational data using an empirical probability formula (Bonsai et al.

ANTHROPOGENIC INFLUENCE ON THE HEAVIEST JUNE PRECIPITATION IN SOUTHEASTERN CHINA SINCE 1961: Anthropogenic influence has increased the chance of an extreme heavy precipitation event like that in June 2017 in southeastern China by about twofold, from a 0.6% probability to a 1.2% probability

The empirical probability of the occurrence of the events is determined as the ratio between the number of type A events that happened and the total number of observed events.

Propuesta de una metodologia de simulacion muestral para el calculo de indices de fiabilidad

The model used is based on an iterative, stochastic, Monte Carlo simulation process that relies on empirical probability distributions to generate random outputs.

Risk assessment and uncertainty of the shrimp trawl fishery in the Gulf of California considering environmental variability/Evaluacion de riesgo e incertidumbre de la pesqueria de camaron de alta mar del golfo de California considerando la variabilidad ambiental

For example, among all teams in major league history that ended the season with a winning percentage in the .600 bin (that is, between .590 and .610), the empirical probability of victory when facing an opponent with winning percentage in the .400 bin (that is, between .390 and .410) is observed to be .682.

Probabilities of victory in head-to-head team matchups

The Empirical Probability Ratio is a measure of how similar T is with C.

GOLink: finding cooccurring terms across gene ontology namespaces

Figure 4 depicts the empirical probability density functions (pdfs) of [rho] observed in the true LoS and NLoS cases.

Measurement-based LoS/NLoS channel modeling for hot-spot urban scenarios in UMTS networks

The CLRT and the score test statistics were performed for a variance shift model for the first observation of each simulated data and 95th percentiles from the empirical distribution of each test statistics were used as threshold values for the test statistics observed on the original data set The empirical probability of type I errors for thresholds derived from the empirical distribution under the null hypothesis are calculated for the corrected likelihood ratio and score test statistics for [alpha] = 0.05 (Tables 1, 2, and 3).

A variance shift model for detection of outliers in the linear measurement error model

The corresponding empirical probability measures [[??].sub.i], i = 1, ..., K may be easily calculated from the training sets [Y.sub.i,j], where i = 1, ..., K, and [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] are iid observations from the distribution [P.sub.i].

Depth-based classification for distributions with nonconvex support

Our goal in this study is to expand on this earlier work by calculating the empirical probability of detecting lynx based on snow-track surveys in areas of known presence.

Estimating detection probability for Canada lynx Lynx canadensis using snow-track surveys in the northern Rocky Mountains, Montana, USA

(2.) Examples include Good and Mayer (1975) and Chamberlain and Rothchild (1981); see Gelman, Katz, and Bafumi (2004) for a review of such methods and their relation to computing the empirical probability of decisiveness.

What is the probability your vote will make a difference?

Assumption 4, which implies that the distribution of the default time [tau] will remain the same under the empirical probability measure P and the martingale measure Q, is required to allow the use of databases containing information about default probabilities in our empirical analysis.