On a Characterization of Multivariate Distributions with Applications in Reliability and Epidemiology.

1978 ◽  
Author(s):  
Naftali A. Langberg
Keyword(s):  
Multivariate Distributions

A characterization of continuous multivariate distributions by conditional expectations

1993 ◽  
Vol 37 (1) ◽  
pp. 13-21 ◽  
Author(s):  
J.M. Ruiz ◽  
J. Marín ◽  
P. Zoroa
Keyword(s):  
Multivariate Distributions ◽  
Conditional Expectations

A Lemma on Random Determinants and its Application to the Characterization of Multivariate Distributions

1965 ◽  
Vol 10 (4) ◽  
pp. 685-689 ◽  
Author(s):  
Ts. G. Khakhubiya
Keyword(s):  
Multivariate Distributions

scholarly journals Cytometric fingerprinting: Quantitative characterization of multivariate distributions

2008 ◽  
Vol 73A (5) ◽  
pp. 430-441 ◽  
Author(s):  
Wade T. Rogers ◽  
Allan R. Moser ◽  
Herbert A. Holyst ◽  
Andrew Bantly ◽  
Emile R. Mohler ◽  
...  
Keyword(s):  
Multivariate Distributions ◽  
Quantitative Characterization

A maximum entropy characterization of symmetric Kotz type and Burr multivariate distributions

Test ◽  
2004 ◽  
Vol 13 (1) ◽  
pp. 65-83 ◽  
Author(s):  
G. Aulogiaris ◽  
K. Zografos
Keyword(s):  
Maximum Entropy ◽  
Multivariate Distributions

Characterization of multivariate distributions through a functional equation of their characteristic functions

1997 ◽  
Vol 63 (2) ◽  
pp. 187-201 ◽  
Author(s):  
Arjun K. Gupta ◽  
Truc T. Nguyen ◽  
Wei-Bin Zeng
Keyword(s):  
Functional Equation ◽  
Characteristic Functions ◽  
Multivariate Distributions

MULTIVARIATE DISPERSION ORDER AND THE NOTION OF COPULA APPLIED TO THE MULTIVARIATE t-DISTRIBUTION

2005 ◽  
Vol 19 (3) ◽  
pp. 363-375 ◽  
Author(s):  
J. P. Arias-Nicolás ◽  
J. M. Fernández-Ponce ◽  
P. Luque-Calvo ◽  
A. Suárez-Llorens
Keyword(s):  
Dependence Structure ◽  
Influential Observations ◽  
Multivariate Distributions ◽  
Multivariate T Distribution ◽  
Multivariate Dispersion ◽  
Dispersion Order ◽  
Distribution Family ◽  
T Distribution ◽  
Multivariate T

We study the concept of multivariate dispersion order, defined as the existence of an expansion function that maps a random vector to another one, for multivariate distributions with the same dependence structure. As a particular case, we can order the multivariate t-distribution family in dispersion sense. Finally, we use these results in the problem of detection and characterization of influential observations in regression analysis. This problem can often be used to compare two multivariate t-distributions.

Morphological Characterization of Mycobacteriophage R1

1974 ◽  
Vol 32 ◽  
pp. 254-255
Author(s):  
B. L. Soloff ◽  
T. A. Rado
Keyword(s):  
Carbon Source ◽  
Stationary Phase ◽  
Growth Phase ◽  
Minimal Medium ◽  
Morphological Characterization ◽  
Logarithmic Growth Phase ◽  
Complete Lysis ◽  
Lysogenic Culture ◽  
Logarithmic Growth

Mycobacteriophage R1 was originally isolated from a lysogenic culture of M. butyricum. The virus was propagated on a leucine-requiring derivative of M. smegmatis, 607 leu−, isolated by nitrosoguanidine mutagenesis of typestrain ATCC 607. Growth was accomplished in a minimal medium containing glycerol and glucose as carbon source and enriched by the addition of 80 μg/ ml L-leucine. Bacteria in early logarithmic growth phase were infected with virus at a multiplicity of 5, and incubated with aeration for 8 hours. The partially lysed suspension was diluted 1:10 in growth medium and incubated for a further 8 hours. This permitted stationary phase cells to re-enter logarithmic growth and resulted in complete lysis of the culture.

AEM analysis of crystallization in Ti-based amorphous alloys

1983 ◽  
Vol 41 ◽  
pp. 270-271
Author(s):  
A.R. Pelton ◽  
A.F. Marshall ◽  
Y.S. Lee
Keyword(s):  
Magnetic Properties ◽  
Amorphous Alloys ◽  
Amorphous Materials ◽  
Isothermal Annealing ◽  
Amorphous Matrix ◽  
Nucleation And Growth ◽  
Current Interest ◽  
Amorphous Films ◽  
Electrical And Magnetic Properties

Amorphous materials are of current interest due to their desirable mechanical, electrical and magnetic properties. Furthermore, crystallizing amorphous alloys provides an avenue for discerning sequential and competitive phases thus allowing access to otherwise inaccessible crystalline structures. Previous studies have shown the benefits of using AEM to determine crystal structures and compositions of partially crystallized alloys. The present paper will discuss the AEM characterization of crystallized Cu-Ti and Ni-Ti amorphous films.Cu60Ti40: The amorphous alloy Cu60Ti40, when continuously heated, forms a simple intermediate, macrocrystalline phase which then transforms to the ordered, equilibrium Cu3Ti2 phase. However, contrary to what one would expect from kinetic considerations, isothermal annealing below the isochronal crystallization temperature results in direct nucleation and growth of Cu3Ti2 from the amorphous matrix.

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