Scaled-factorial-moment analysis of 200A-GeV sulfur+gold interactions

1990 ◽  
Vol 65 (4) ◽  
pp. 412-415 ◽  
Author(s):  
M. I. Adamovich ◽  
M. M. Aggarwal ◽  
Y. A. Alexandrov ◽  
Z. V. Ameeva ◽  
N. P. Andreeva ◽  
...  
Keyword(s):  
Factorial Moment ◽  
Moment Analysis

scholarly journals ON THE FACTORIAL MOMENT ANALYSIS OF HIGH ENERGY EXPERIMENTAL DATA WITH NONINTEGER PARTITION NUMBER

1999 ◽  
Vol 14 (23) ◽  
pp. 3687-3697 ◽  
Author(s):  
GANG CHEN ◽  
LIANSHOU LIU ◽  
YANMIN GAO
Keyword(s):  
Experimental Data ◽  
Phase Space ◽  
Factorial Moment ◽  
High Energy ◽  
Moment Analysis ◽  
Systematic Method ◽  
Particle Correlations ◽  
Partition Number ◽  
Self Consistency

It is pointed out that in doing the factorial moment analysis with noninteger partition M of phase–space, the influence of the phase–space variation of two (or more) particle correlations has to be considered carefully. In this paper this problem is studied and a systematic method is developed to minimize this influence. The efficiency and self-consistency of this method are shown using the data of 250 GeV /c π+p and K+p collisions from the NA22 experiment as example.

“I Can See What You’re Saying”: Clinical Utility of Spectral Moment Analysis

2011 ◽  
Vol 21 (2) ◽  
pp. 44-54
Author(s):  
Kerry Callahan Mandulak
Keyword(s):  
Speech Production ◽  
Speech Signal ◽  
Clinical Utility ◽  
Acoustic Analysis ◽  
Moment Analysis ◽  
Analysis Tool ◽  
Spectral Moment ◽  
Clinical Measure ◽  
Perceptual Analysis ◽  
Disordered Speech

Spectral moment analysis (SMA) is an acoustic analysis tool that shows promise for enhancing our understanding of normal and disordered speech production. It can augment auditory-perceptual analysis used to investigate differences across speakers and groups and can provide unique information regarding specific aspects of the speech signal. The purpose of this paper is to illustrate the utility of SMA as a clinical measure for both clinical speech production assessment and research applications documenting speech outcome measurements. Although acoustic analysis has become more readily available and accessible, clinicians need training with, and exposure to, acoustic analysis methods in order to integrate them into traditional methods used to assess speech production.

Expansions for Markov-modulated systems and approximations of ruin probability

1996 ◽  
Vol 33 (01) ◽  
pp. 57-70
Author(s):  
Bartłomiej Błaszczyszyn ◽  
Tomasz Rolski
Keyword(s):  
Ruin Probability ◽  
Marked Point ◽  
Factorial Moment ◽  
Risk Process ◽  
Rate Function ◽  
Marked Point Process ◽  
Probability Of Ruin ◽  
Actual Risk ◽  
Moment Measures ◽  
Markov Modulated

Let N be a stationary Markov-modulated marked point process on ℝ with intensity β ∗ and consider a real-valued functional ψ(N). In this paper we study expansions of the form Eψ(N) = a 0 + β ∗ a 1 + ·· ·+ (β∗ ) nan + o((β ∗) n ) for β ∗→ 0. Formulas for the coefficients ai are derived in terms of factorial moment measures of N. We compute a 1 and a 2 for the probability of ruin φ u with initial capital u for the risk process in the Markov-modulated environment; a 0 = 0. Moreover, we give a sufficient condition for ϕu to be an analytic function of β ∗. We allow the premium rate function p(x) to depend on the actual risk reserve.

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