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10 relations: Chi-squared test, Independent and identically distributed random variables, Kolmogorov–Smirnov test, List of Latin phrases (V), Normal distribution, Software verification, Software verification and validation, Statistical hypothesis testing, Student's t-test, Verification and validation.
Chi-squared test
A chi-squared test, also written as test, is any statistical hypothesis test where the sampling distribution of the test statistic is a chi-squared distribution when the null hypothesis is true.
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Independent and identically distributed random variables
In probability theory and statistics, a sequence or other collection of random variables is independent and identically distributed (i.i.d. or iid or IID) if each random variable has the same probability distribution as the others and all are mutually independent.
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Kolmogorov–Smirnov test
In statistics, the Kolmogorov–Smirnov test (K–S test or KS test) is a nonparametric test of the equality of continuous, one-dimensional probability distributions that can be used to compare a sample with a reference probability distribution (one-sample K–S test), or to compare two samples (two-sample K–S test).
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List of Latin phrases (V)
Additional references.
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Normal distribution
In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.
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Software verification
Software verification is a discipline of software engineering whose goal is to assure that software fully satisfies all the expected requirements.
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Software verification and validation
In software project management, software testing, and software engineering, verification and validation (V&V) is the process of checking that a software system meets specifications and that it fulfills its intended purpose.
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Statistical hypothesis testing
A statistical hypothesis, sometimes called confirmatory data analysis, is a hypothesis that is testable on the basis of observing a process that is modeled via a set of random variables.
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Student's t-test
The t-test is any statistical hypothesis test in which the test statistic follows a Student's ''t''-distribution under the null hypothesis.
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Verification and validation
Verification and validation are independent procedures that are used together for checking that a product, service, or system meets requirements and specifications and that it fulfills its intended purpose.
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Verification and Validation of Computer Simulation Models.
References
[1] https://en.wikipedia.org/wiki/Verification_and_validation_of_computer_simulation_models
