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этимология

Что (кто) такое testing errors - определение

DIFFERENCE BETWEEN THE ACTUAL OR REAL AND THE PREDICTED OR FORECAST VALUE OF A TIME SERIES OR ANY OTHER PHENOMENON OF INTEREST

Forecast errors

Найдено результатов: 794

The Comedy of Errors

EARLY PLAY BY WILLIAM SHAKESPEARE

Comedy of Errors; Comedy of errors; The Comedy Of Errors; A Comedy of Errors; Comedy Of Errors; Antipholus; The Comedie of Errors; The Comedie of Errors.; Aegeon; Dromio; Angelo (The Comedy of Errors); Comedy of Errors (play); The comedy of errors; The Comedy of Errors (play)

The Comedy of Errors is one of William Shakespeare's early plays. It is his shortest and one of his most farcical comedies, with a major part of the humour coming from slapstick and mistaken identity, in addition to puns and word play.

https://en.wikipedia.org/wiki/The_Comedy_of_Errors

Usability testing

TECHNIQUE USED IN USER-CENTERED INTERACTION DESIGN TO EVALUATE A PRODUCT BY TESTING IT ON USERS

Usability study; UI Testing; Usability test; Hallway testing; Hallway usability testing; Usability Testing; User testing; UX testing; User study; User test; Guerrilla usability

Usability testing is a technique used in user-centered interaction design to evaluate a product by testing it on users. This can be seen as an irreplaceable usability practice, since it gives direct input on how real users use the system.

https://en.wikipedia.org/wiki/Usability_testing

Heteroskedasticity-consistent standard errors

ASYMPTOTIC VARIANCES UNDER HETEROSKEDASTICITY

HCSE; Huber–White standard error; Huber-White standard error; HC0; White standard errors; Heteroscedasticity-Consistent Standard Errors; Eicker-White standard errors; Huber-White standard errors; Huber–White standard errors; Eicker–White standard errors; Eicker–White standard error; Eicker–Huber-White standard error; Eicker–Huber-White standard errors; Sandwich standard error; Eicker-White standard error; Robust standard error; Eicker-Huber-White standard errors; Eicker-Huber-White standard error; Heteroscedasticity-consistent standard errors

The topic of heteroskedasticity-consistent (HC) standard errors arises in statistics and econometrics in the context of linear regression and time series analysis. These are also known as heteroskedasticity-robust standard errors (or simply robust standard errors), Eicker–Huber–White standard errors (also Huber–White standard errors or White standard errors), to recognize the contributions of Friedhelm Eicker, Peter J.

https://en.wikipedia.org/wiki/Heteroskedasticity-consistent_standard_errors

All-pairs testing

ALSO KNOWN AS PAIRWISE TESTING, A SOFTWARE TESTING METHOD

Combinatorial Interaction Testing; All-pair testing

In computer science, all-pairs testing or pairwise testing is a combinatorial method of software testing that, for each pair of input parameters to a system (typically, a software algorithm), tests all possible discrete combinations of those parameters. Using carefully chosen test vectors, this can be done much faster than an exhaustive search of all combinations of all parameters, by "parallelizing" the tests of parameter pairs.

https://en.wikipedia.org/wiki/All-pairs_testing

Keyword-driven testing

KEYDRIVEN DATA DRIVEN FRAME WORK

Table-driven testing; Keyword driven testing

Keyword-driven testing, also known as action word based testing (not to be confused with action driven testing), is a software testing methodology suitable for both manual and automated testing. This method separates the documentation of test casesincluding both the data and functionality to usefrom the prescription of the way the test cases are executed.

https://en.wikipedia.org/wiki/Keyword-driven_testing

bottom-up testing

THE PHASE IN SOFTWARE TESTING IN WHICH INDIVIDUAL SOFTWARE MODULES ARE COMBINED AND TESTED AS A GROUP

Integration test; I&T; Component integration testing; Integration and testing; Integration & testing; Bottom-UP testing; Integration tests

<programming> An integration testing technique that tests the low-level components first using test drivers for those components that have not yet been developed to call the low-level components for test. Compare bottom-up implementation. (1996-05-10)

integration testing

THE PHASE IN SOFTWARE TESTING IN WHICH INDIVIDUAL SOFTWARE MODULES ARE COMBINED AND TESTED AS A GROUP

Integration test; I&T; Component integration testing; Integration and testing; Integration & testing; Bottom-UP testing; Integration tests

<testing> A type of testing in which software and/or hardware components are combined and tested to confirm that they interact according to their requirements. Integration testing can continue progressively until the entire system has been integrated. (2003-09-24)

clear box testing

METHOD OF SOFTWARE TESTING

Glass-box testing; Glass box testing; Clear box testing; Whitebox testing; White box testing; White box test; Draft:Open box testing

white box testing

Integration testing

THE PHASE IN SOFTWARE TESTING IN WHICH INDIVIDUAL SOFTWARE MODULES ARE COMBINED AND TESTED AS A GROUP

Integration test; I&T; Component integration testing; Integration and testing; Integration & testing; Bottom-UP testing; Integration tests

Integration testing (sometimes called integration and testing, abbreviated I&T) is the phase in software testing in which individual software modules are combined and tested as a group. Integration testing is conducted to evaluate the compliance of a system or component with specified functional requirements.

https://en.wikipedia.org/wiki/Integration_testing

DNA test

MEDICAL TESTING RELATED TO GENETIC DISORDERS

DNA testing; DNA test; Genetic test; DNA analysis; Dna testing; DNA typing; Gene testing; Genetic screening; Gene test; Predictive testing; Mouthwash test; DNA analyses; Consumer Genetics; Dna test; Presymptomatic testing; Targeted mutation analysis; Dna Typing; DNA swab; Gene Diagnostics; DNA tests; Genetic diagnosis; DNA sample; DNA collection; Genetic tests; Genetic-based tests; Direct-to-consumer genetic testing; Draft:Genetic diagnostic testing; Genetic diagnostic testing; Genetic Testing

(DNA tests)

A DNA test is a test in which someone's DNA is analysed, for example to see if they have committed a particular crime or are the parent of a particular child.

N-COUNT

• DNA testing

They took samples from his hair for DNA testing.

N-UNCOUNT

Википедия

Forecast error

In statistics, a forecast error is the difference between the actual or real and the predicted or forecast value of a time series or any other phenomenon of interest. Since the forecast error is derived from the same scale of data, comparisons between the forecast errors of different series can only be made when the series are on the same scale.

In simple cases, a forecast is compared with an outcome at a single time-point and a summary of forecast errors is constructed over a collection of such time-points. Here the forecast may be assessed using the difference or using a proportional error. By convention, the error is defined using the value of the outcome minus the value of the forecast.

In other cases, a forecast may consist of predicted values over a number of lead-times; in this case an assessment of forecast error may need to consider more general ways of assessing the match between the time-profiles of the forecast and the outcome. If a main application of the forecast is to predict when certain thresholds will be crossed, one possible way of assessing the forecast is to use the timing-error—the difference in time between when the outcome crosses the threshold and when the forecast does so. When there is interest in the maximum value being reached, assessment of forecasts can be done using any of:

the difference of times of the peaks;
the difference in the peak values in the forecast and outcome;
the difference between the peak value of the outcome and the value forecast for that time point.

Forecast error can be a calendar forecast error or a cross-sectional forecast error, when we want to summarize the forecast error over a group of units. If we observe the average forecast error for a time-series of forecasts for the same product or phenomenon, then we call this a calendar forecast error or time-series forecast error. If we observe this for multiple products for the same period, then this is a cross-sectional performance error. Reference class forecasting has been developed to reduce forecast error. Combining forecasts has also been shown to reduce forecast error.

https://en.wikipedia.org/wiki/Forecast error