On characteristic frequencies of a five-component model of magnetospheric plasma

Jaroslava Bošková; K. Dobeš

doi:10.1007/bf01614040

On characteristic frequencies of a five-component model of magnetospheric plasma

Studia Geophysica et Geodaetica ◽

10.1007/bf01614040 ◽

1978 ◽

Vol 22 (2) ◽

pp. 160-164 ◽

Cited By ~ 1

Author(s):

Jaroslava Bošková ◽

K. Dobeš

Keyword(s):

Magnetospheric Plasma ◽

Component Model ◽

Characteristic Frequencies

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Comparison of Principal Component Solutions in Two Populations

Methodology ◽

10.1027/1614-2241/a000099 ◽

2016 ◽

Vol 12 (1) ◽

pp. 11-20 ◽

Cited By ~ 1

Author(s):

Gregor Sočan

Keyword(s):

Simulation Study ◽

Principal Components ◽

Common Factor ◽

Principal Component ◽

Component Model ◽

Bootstrap Procedure ◽

Factor Loadings ◽

Component Loadings ◽

Principal Component Model ◽

Two Populations

Abstract. When principal component solutions are compared across two groups, a question arises whether the extracted components have the same interpretation in both populations. The problem can be approached by testing null hypotheses stating that the congruence coefficients between pairs of vectors of component loadings are equal to 1. Chan, Leung, Chan, Ho, and Yung (1999) proposed a bootstrap procedure for testing the hypothesis of perfect congruence between vectors of common factor loadings. We demonstrate that the procedure by Chan et al. is both theoretically and empirically inadequate for the application on principal components. We propose a modification of their procedure, which constructs the resampling space according to the characteristics of the principal component model. The results of a simulation study show satisfactory empirical properties of the modified procedure.

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Modeling Magnetospheric Plasma Processes

10.1029/gm062 ◽

1991 ◽

Keyword(s):

Magnetospheric Plasma

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Using Rest's Four Component Model to Predict Applicant Cheating

PsycEXTRA Dataset ◽

10.1037/e518362013-255 ◽

2011 ◽

Author(s):

Lynn R. Hartmann ◽

Kristie Lynn Campana ◽

Lance Andrews

Keyword(s):

Component Model ◽

Four Component Model

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Commitment to work-group performance: Extension of the three-component model

PsycEXTRA Dataset ◽

10.1037/e518422013-349 ◽

2009 ◽

Author(s):

Timothy A. Jackson ◽

John P. Meyer ◽

Yaprak Kumsar

Keyword(s):

Group Performance ◽

Work Group ◽

Component Model ◽

Work Group Performance

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Radiometric Chronology of Neh–nar Glacier, Kashmir

Journal of Glaciology ◽

10.3189/s0022143000011813 ◽

1982 ◽

Vol 28 (98) ◽

pp. 91-105 ◽

Cited By ~ 1

Author(s):

V. N. Nijampurkar ◽

N. Bhandari ◽

C. P. Vohra ◽

V. Krishnan

Keyword(s):

Average Rate ◽

Component Model ◽

Vertical Profiles ◽

Kashmir Valley ◽

Movement Rate ◽

Accumulation Zone ◽

Core Samples ◽

Surface Samples ◽

Two Component

AbstractSurface and core samples of Neh–nar Glacier in the Kashmir Valley have been analysed for the radionuclides 32Si. 210Pb, 40K, and 137Cs. The lateral and vertical profiles (at an altitude of about 4 140 m) reveal:(1)32Si activity decreasing slowly from the accumulation zone to 4 050 m altitude and then abruptly towards the snout.(2)Five zones of alternating high and low 210Pb activity in the surface samples.(3)An horizon at between 2 and 3 m depth containing 210Pb activity above natural levels. This horizon is also associated with 137Cs and a maximum in total ß activity.The ice samples have been dated on the basis of a simplified two–component model, the “fresh“contribution determined by 2l0Pb and the old component by 32Si. The following conclusions can be drawn from these observations:(1)The model age of the snout ice is c. 850 years.(2)The average rate of ice movement in the lower glacier is about 2 m/year, which compares well with the annual movement rate of 2.65 m/year observed since 1974.

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