¹ Source: wiktionary.com
Definition of Marginals
1. marginal [n] - See also: marginal
Lexicographical Neighbors of Marginals
Literary usage of Marginals
Below you will find example usage of this term as found in modern and/or classical literature:
1. Stochastic Inequalities by Moshe Shaked, Yung Liang Tong (1992)
"IMS Lecture Notes - Monograph Series Volume 22 (1993) LOWER BOUNDS ON MULTIVARIATE
DISTRIBUTIONS WITH PREASSIGNED marginals By S. KOTZ and JP SEEGER ..."
2. Bayesian Robustness: Proceedings of the Workshop on Bayesian Robustness, May by James O. Berger (1996)
"The class F(Q,£) would model those situations where one is rather confident in
the marginals elicitation, but a sensitivity analysis is still necessary, ..."
3. The Cambridge Natural History by Arthur Everett Shipley, Sidney Frederic Harmer (1895)
"in which the aculeate form of tooth — so characteristic of the Agnatha — disappears
even in the marginals, and is replaced by teeth with a more or less ..."
4. Agropolis: The Social, Political and Environmental Dimensions of Urban by Luc J. A. Mougeot (2005)
"Table 3.4 To bit marginals and elasticities decomposition Note: See ‘Definition
of variables', under ‘The Empirical Tobit Model' in the text. ..."
5. Descriptive Catalogue of the Reptiles of British India by William Theobald (1876)
"... is based on a specimen or variety, whose three hinder marginals are so narrow
as to only occupy the space usually taken up by two and a half. ..."
6. The Organs of Speech and Their Application in the Formation of Articulate Sounds by Georg Hermann von Meyer (1884)
"The marginals. I, j, sch. We have already described the peculiarities which are
common to the marginal sounds. The three sounds just enumerated all belong ..."
7. The Organs of Speech: And Their Application in the Formation of Articulate by Georg Hermann von Meyer (1883)
"The marginals. I, j, sch. We have already described the peculiarities which are
common to the marginal sounds. The three sounds just enumerated all belong ..."
8. Topics in Statistical Dependence by Henry W. Block, Allan R. Sampson, Thomas H. Savits (1990)
"This is due to the fact that the values in the probability matrices are not
weighed according J to their marginals. The ordering > performs well in this ..."
Other Resources:
