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Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be divided and allocated to different sources of uncertainty in its inputs. [ 1 ][ 2 ] This involves estimating sensitivity indices that quantify the influence of an input or group of inputs on the output.
In medicine and statistics, sensitivity and specificity mathematically describe the accuracy of a test that reports the presence or absence of a medical condition. If individuals who have the condition are considered "positive" and those who do not are considered "negative", then sensitivity is a measure of how well a test can identify true ...
A coydog is a canid hybrid resulting from a mating between a male coyote and a female dog. Hybrids of both sexes are fertile and can be successfully bred through four generations. [1] Similarly, a dogote is a hybrid with a dog father and a coyote mother. Such matings occurred long before the European colonization of the Americas, as melanistic ...
As the number of discrete events increases, the function begins to resemble a normal distribution. Comparison of probability density functions, () for the sum of fair 6-sided dice to show their convergence to a normal distribution with increasing , in accordance to the central limit theorem. In the bottom-right graph, smoothed profiles of the ...
A coywolf is a canid hybrid descended from coyotes (Canis latrans), eastern wolves (Canis lycaon), gray wolves (Canis lupus), and dogs (Canis familiaris). All of these species are members of the genus Canis with 78 chromosomes; they therefore can interbreed. [1] One genetic study indicates that these species genetically diverged relatively ...
In probability theory and statistics, the cumulative distribution function (CDF) of a real-valued random variable , or just distribution function of , evaluated at , is the probability that will take a value less than or equal to . 1. Every probability distribution supported on the real numbers, discrete or "mixed" as well as continuous, is ...
Weighted arithmetic mean. The weighted arithmetic mean is similar to an ordinary arithmetic mean (the most common type of average), except that instead of each of the data points contributing equally to the final average, some data points contribute more than others. The notion of weighted mean plays a role in descriptive statistics and also ...
t. e. Bayesian statistics (/ ˈbeɪziən / BAY-zee-ən or / ˈbeɪʒən / BAY-zhən) [ 1 ] is a theory in the field of statistics based on the Bayesian interpretation of probability, where probability expresses a degree of belief in an event. The degree of belief may be based on prior knowledge about the event, such as the results of previous ...