Statistical analysis and modeling of underwater wind noise at the northeast pacific continental margin

Aeroacoustic simulation with CFD (Computational Fluid Dynamics) generates large result datasets that need to be analyzed carefully to correlate with interior wind noise measurements. Recently, a new tool has been developed that simulates interior noise from exterior air flow by combining transient CFD for flow simulation and SEA (Statistical Energy Analysis) for vehicle structural acoustic response. Several interesting data reduction techniques have been employed to correlate dozens of separate passenger vehicle tests with the corresponding simulation results. This paper presents results of this correlation study, including statistical analysis of the resulting frequency domain comparison.

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Supplemental Material: First-cycle sand supply and the evolution of the eastern Canadian continental margin: Insights from Pb isotopes in the Mesozoic Scotian Basin

10.1130/gsab.s.12665390 ◽

2020 ◽

Author(s):

Aoife Blowick ◽

et al.

Keyword(s):

Statistical Analysis ◽

Continental Margin ◽

Pb Isotopes ◽

Isotopic Compositions ◽

Sand Supply

S1: Statistical Analysis of Pb isotopes in K-feldspar; S2: Pb isotopic compositions of K-feldspars; S3: Thorogenic Pb Plots.

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Statistical analysis and modeling of rain-generated ocean noise in the northeast Pacific Ocean

The Journal of the Acoustical Society of America ◽

10.1121/1.5146884 ◽

2020 ◽

Vol 148 (4) ◽

pp. 2484-2484

Author(s):

Felix Schwock ◽

Shima Abadi

Keyword(s):

Statistical Analysis ◽

Pacific Ocean ◽

Northeast Pacific ◽

Ocean Noise ◽

Northeast Pacific Ocean

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Supplemental Material: First-cycle sand supply and the evolution of the eastern Canadian continental margin: Insights from Pb isotopes in the Mesozoic Scotian Basin

10.1130/gsab.s.12665390.v2 ◽

2020 ◽

Author(s):

Aoife Blowick ◽

et al.

Keyword(s):

Statistical Analysis ◽

Continental Margin ◽

Pb Isotopes ◽

Isotopic Compositions ◽

Sand Supply

S1: Statistical Analysis of Pb isotopes in K-feldspar; S2: Pb isotopic compositions of K-feldspars; S3: Thorogenic Pb Plots.

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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