Sentence examples for statistical notion from inspiring English sources

The notion of phenomenal indistinguishability of unrepeatable experiences cannot be defined as a statistical notion.

The notion of heritability relevant here is the purely phenotypic, purely statistical notion developed by Francis Galton (1869).

Finally, the statistical notion of epistasis attributed to Fisher [12] is defined as the deviation from additivity in linear statistical models, where the relationship between multilocus genotypes and phenotypic variation, at a population level, is not predictable under the assumption of independent gene activities.

A related statistical notion in estimation problems is data overfitting.

You sometimes get the sense that the Warriors' super-spaced, three-happy style of play annoys LeBron in exactly the same way that newfangled statistical notions like "efficiency" and "usage rate" used to bother Kobe Bryant, James's predecessor in league-dominating superstardom.

By recognizing the global geometric nature of the space of phylogenetic trees, this article shows that the fundamental statistical notions defined over linear spaces, such as sample mean, median and variance, can be generalized to more complex spaces such as the tree space.

Mursaleen and Edely [15] presented the notion statistical convergence for a double sequence x = ( x i j ) as follows: A real double sequence x = ( x i j ) is said to be statistically convergent to L provided that for each ϵ > 0, P - lim m, n 1 m n | { ( i, j ) : i ≤ m  and  j ≤ n, | x i j − L | ≥ ϵ } | = 0. We now give the following definition.

In this article, we define the notion of statistical convergence, statistical Cauchy and strongly p-Cesàro summability in a paranormed space.

Using this definition, the notions of statistical convergence and statistically Cauchy for a number sequence are defined (in [5]) as follows.

In [4], Edely and Mursaleen have given the notion of statistical A-summability for single sequences and statistical A-summability for double sequences has recently been studied in [5].

Here we define the notion of statistical ( A, λ ) -summability as a λ-statistical convergence of A-transform of x and prove some results on some related sets of sequences.