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LLR is a program that can run the LLR tests. The program was developed by Jean Penné. Vincent Penné has modified the program so that it can obtain tests via the Internet. [4] The software is both used by individual prime searchers and some distributed computing projects including Riesel Sieve and PrimeGrid.
Lunar Laser Ranging (LLR) is the practice of measuring the distance between the surfaces of the Earth and the Moon using laser ranging. The distance can be calculated from the round-trip time of laser light pulses travelling at the speed of light , which are reflected back to Earth by the Moon's surface or by one of several retroreflectors ...
The likelihood-ratio test, also known as Wilks test, [2] is the oldest of the three classical approaches to hypothesis testing, together with the Lagrange multiplier test and the Wald test. [3] In fact, the latter two can be conceptualized as approximations to the likelihood-ratio test, and are asymptotically equivalent.
In fact, post-test probability, as estimated from the likelihood ratio and pre-test probability, is generally more accurate than if estimated from the positive predictive value of the test, if the tested individual has a different pre-test probability than what is the prevalence of that condition in the population.
LLR may refer to: LLR 81mm , a type of mortar used by the French Army Lars Løkke Rasmussen , a Danish politician from Venstre , who served as Prime Minister 2009-2011 and again 2015-2019
In mathematics, the Lucas–Lehmer test (LLT) is a primality test for Mersenne numbers. The test was originally developed by Édouard Lucas in 1878 [ 1 ] and subsequently proved by Derrick Henry Lehmer in 1930.
Note: Fisher's G-test in the GeneCycle Package of the R programming language (fisher.g.test) does not implement the G-test as described in this article, but rather Fisher's exact test of Gaussian white-noise in a time series. [10] Another R implementation to compute the G statistic and corresponding p-values is provided by the R package entropy.
Taking the LLR into account, yields a hard decision; i.e., a decoded bit. It is known that the Viterbi algorithm is unable to calculate APP, thus it cannot be used in . Instead of that, a modified BCJR algorithm is used.