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Nihon Seitai Gakkaishi = Japanese Journal of Ecology, ISSN 0021-5007, 01/2019, Volume 69, Issue 2, p. 93
Journal Article
Advances in Horticultural Science, ISSN 0394-6169, 1/2013, Volume 27, Issue 3, pp. 95 - 95
Journal Article
1948, Encyclopédie des connaissances agricoles, vi, 338 p. illus.
Book
2012, ISBN 9781557289803, x, 67
Book
1992, Kew gardening guides, ISBN 0881922218, 124
Book
1893, 25 p. table, map.
Book
1950, Collection Armand Colin, no. 263. Section de géographie, 224 p. maps.
Book
Insurance Mathematics and Economics, ISSN 0167-6687, 2009, Volume 44, Issue 2, pp. 182 - 198
Journal Article
Book
Journal of Multivariate Analysis, ISSN 0047-259X, 06/2015, Volume 138, pp. 4 - 18
We present a sampling algorithm for a regular vine on variables which starts at an arbitrary variable. A sampling order whose nested conditional probabilities... 
Vine merging | Regular vine | Number of regular vines | Vine conditionalization | STATISTICS & PROBABILITY
Journal Article
New Zealand Plant Protection, ISSN 1175-9003, 01/2019, Volume 72, p. 271
Recently, fruit drop in two green varieties of kiwifruit (Actinidia deliciosa; VarA and VarB) has increased towards the harvest date. The efficacy of two... 
Kiwifruit | Flowering | Vines | Fruits
Journal Article
The Canadian Journal of Statistics / La Revue Canadienne de Statistique, ISSN 0319-5724, 3/2012, Volume 40, Issue 1, pp. 68 - 85
Journal Article
Journal of Multivariate Analysis, ISSN 0047-259X, 2010, Volume 101, Issue 1, pp. 252 - 270
Tail dependence and conditional tail dependence functions describe, respectively, the tail probabilities and conditional tail probabilities of a copula at... 
Archimedean copulas | D-vine | C-vine | Conditional tail | Extreme value | EXTREME-VALUE DISTRIBUTIONS | MULTIVARIATE | STATISTICS & PROBABILITY | RANDOM-VARIABLES | VERSIONS | FAMILY | Archimedean copulas Conditional tail D-vine C-vine Extreme value
Journal Article
Energy Economics, ISSN 0140-9883, 09/2014, Volume 45, pp. 528 - 536
This article models the dependence risk and resource allocation characteristics of two 20-stock coal–uranium and oil–gas sector portfolios from the Australian... 
Portfolio optimization | D-vines | Energy stocks | C-vines | Risk measures | Dependence structure | ENERGY | MANAGEMENT | ECONOMICS | VINE COPULAS | D-vines Dependence structure | Investment analysis | Uranium | Stocks | Portfolio management | Risk assessment | Natural gas | Coal | Risk | Nonlinearity | Markets | Raw materials | Optimization
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 08/2014, Volume 76, pp. 672 - 686
Journal Article
1969, Rev. and enl. ed., xviii, 613
Book
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