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In mathematics, the Cauchy condensation test, named after Augustin-Louis Cauchy, is a standard convergence test for infinite series.For a non-increasing sequence of non-negative real numbers, the series = converges if and only if the "condensed" series = converges.
The purpose of the study was to test how knowledgeable U.S. primary care providers were on the topics of sexual health and sexuality in older age. [4] The results of the study showcased that U.S. health care providers on average were less knowledgeable than U.S. graduate nursing students on the topics of sexual health and aging sexuality.
The test was used by Gottfried Leibniz and is sometimes known as Leibniz's test, Leibniz's rule, or the Leibniz criterion. The test is only sufficient, not necessary, so some convergent alternating series may fail the first part of the test. For a generalization, see Dirichlet's test.
In mathematics, the ratio test is a test (or "criterion") for the convergence of a series =, where each term is a real or complex number and a n is nonzero when n is large. The test was first published by Jean le Rond d'Alembert and is sometimes known as d'Alembert's ratio test or as the Cauchy ratio test.
Convergent cross mapping (CCM) is a statistical test for a cause-and-effect relationship between two variables that, like the Granger causality test, seeks to resolve the problem that correlation does not imply causation. [1]
But the Riemann series theorem states that conditionally convergent series can be rearranged to create arbitrary convergence. [4] The general principle is that addition of infinite sums is only commutative for absolutely convergent series. For example, one false proof that 1=0 exploits the failure of associativity for infinite sums.
In economic growth literature the term "convergence" can have two meanings. The first kind (sometimes called "sigma-convergence") refers to a reduction in the dispersion of levels of income across economies. "Beta-convergence" on the other hand, occurs when poor economies grow faster than rich ones.
For example, in order to test the convergent validity of a measure of self-esteem, a researcher may want to show that measures of similar constructs, such as self-worth, confidence, social skills, and self-appraisal are also related to self-esteem, whereas non-overlapping factors, such as intelligence, should not relate.