Graded monads and type-level programming for dependence analysis

2021 ◽  
Author(s):  
Finnbar Keating ◽  
Michael B. Gale
Keyword(s):  
Dependence Analysis

Effectiveness of data dependence analysis

1995 ◽  
Vol 23 (1) ◽  
pp. 63-81 ◽  
Author(s):  
Dror E. Maydan ◽  
John L. Hennessy ◽  
Monica S. Lam
Keyword(s):  
Data Dependence ◽  
Dependence Analysis ◽  
Data Dependence Analysis

An Examination of Development Trends in Field Dependence among Age Groups of 13 to 21 Years of Age

1987 ◽  
Vol 64 (1) ◽  
pp. 117-118 ◽  
Author(s):  
Bill McLeod
Keyword(s):  
Field Dependence ◽  
Early Adulthood ◽  
Age Groups ◽  
Late Adolescence ◽  
Female Students ◽  
Dependence Analysis ◽  
Development Trends ◽  
Male And Female ◽  
Field Independent ◽  
Rod And Frame

Three groups of 120 male and female students each, aged 13 to 15 yr., 16 to 18 yr., and 19 to 21 yr., were tested on Oilman's portable rod-and-frame apparatus to assess field dependence. Analysis indicated that the 16- to 18-yr.-old group was more field independent. Developmental trends indicated decreased field-dependence into late adolescence, and then a reversal indicating an increase in field-dependence beginning in early adulthood (19- to 21-yr.-old group).

scholarly journals Asymmetric Dependence Analysis of International Crude Oil Spot and Futures Based on the Time Varying Copula-GARCH

2015 ◽  
Vol 8 (1) ◽  
pp. 463-467
Author(s):  
He Xin ◽  
Zhang Jun
Keyword(s):  
Parameter Estimation ◽  
Crude Oil ◽  
Significant Influence ◽  
Tail Dependence ◽  
Sliding Window ◽  
Dependence Structure ◽  
Dependence Analysis ◽  
Time Varying ◽  
Daily Return ◽  
Asymmetric Dependence

Taking daily return of international crude oil spot and futures as sample, this paper analyzed the time varying and asymmetric dependence structure of them by time varying Copula-GARCH model based on sliding window and semi parameter estimation. This paper analyzed the regular changing between dependence structure of crude oil spot and futures and the return fluctuation, and confirmed that there is significant time varying asymmetric tail dependence. This paper found that the size of the sliding window had no significant influence on the conclusion, and the data of weekly return is more suitable for analysis of the trend of dependence structure of spot.

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