The mass number dependence of the diffraction model parameters

1972 ◽  
Vol 3 (16) ◽  
pp. 673-675 ◽  
Author(s):  
A. Y. Abul-Magd ◽  
M. H. Simbel
Keyword(s):  
Mass Number ◽  
Model Parameters ◽  
Diffraction Model

Determination of the optical potentials in terms of diffraction-model parameters

1971 ◽  
Vol 34 (7) ◽  
pp. 566-568 ◽  
Author(s):  
A.Y. Abul-Magd ◽  
M. El-Nadi ◽  
M.H. Simbel
Keyword(s):  
Model Parameters ◽  
Diffraction Model ◽  
Optical Potentials

Mass-number dependence of statistical model parameters and its impact on incomplete fusion fraction calculations

2021 ◽  
Vol 104 (3) ◽  
Author(s):  
Alpna Ojha ◽  
Sunita Gupta ◽  
Unnati Gupta ◽  
Pushpendra P. Singh ◽  
Abhishek Yadav ◽  
...  
Keyword(s):  
Statistical Model ◽  
Mass Number ◽  
Incomplete Fusion ◽  
Model Parameters

Effect of particle concentration on the entire cycle of filtration

1997 ◽  
Vol 35 (8) ◽  
pp. 91-102 ◽  
Author(s):  
H. Prasanthi ◽  
S. Vigneswaran ◽  
H. B. Dharmappa
Keyword(s):  
Surface Area ◽  
Natural Waters ◽  
Mass Number ◽  
Particle Concentration ◽  
Polystyrene Latex ◽  
Physical Parameters ◽  
Model Parameters ◽  
Constant Mass ◽  
Transient Stage ◽  
Influent Concentration

Influent particle concentration is one of the physical parameters that influence the overall performance of a deep bed filter. Natural waters with varying turbidity have varying effect on filtration. Experimental and theoretical studies on the effect of concentration on clean bed filter efficiency and ripening stage efficiency have been reported in the literature. However, a comprehensive study on the effect of influent concentration on the transient stage of filtration is not documented. In addition, it is not understood in what units the concentration should be expressed in the mathematical models: the mass, number or surface area of the particles? In this present study, submicron polystyrene latex beads of sizes 0.46 μm and 0.825 μm were used to study the effect of concentration on the entire cycle of filtration. Experiments were carried out at constant mass, number and surface area as influent concentrations in order to observe the variation in filtration of the two sizes of particle. At constant mass concentrations, the initial removal was found to be higher for smaller particles (0.46 μm) (in the submicron range); but when the number or surface area of particles was considered, it was found to be higher for larger particles (0.825 μm). The transient stage removal was found to increase with an increase in particle size, either with constant mass, number or surface area as an influent concentration. The Vigneswaran and Chang (1986) model was used to quantify the results. The model parameters estimated using the experimental results are useful in quantifying and understanding the performance of the filter.

Instrumental and Ideological Union Commitment: Longitudinal Assessment of Construct Validity

2001 ◽  
Vol 17 (2) ◽  
pp. 98-111 ◽  
Author(s):  
Anders Sjöberg ◽  
Magnus Sverke
Keyword(s):  
Construct Validity ◽  
Temporal Stability ◽  
Strong Support ◽  
Internal Consistency Reliability ◽  
Measurement Model ◽  
Two Dimensions ◽  
Model Parameters ◽  
Longitudinal Assessment ◽  
Union Commitment ◽  
Union Participation

Summary: Previous research has identified instrumentality and ideology as important aspects of member attachment to labor unions. The present study evaluated the construct validity of a scale designed to reflect the two dimensions of instrumental and ideological union commitment using a sample of 1170 Swedish blue-collar union members. Longitudinal data were used to test seven propositions referring to the dimensionality, internal consistency reliability, and temporal stability of the scale as well as postulated group differences in union participation to which the scale should be sensitive. Support for the hypothesized factor structure of the scale and for adequate reliabilities of the dimensions was obtained and was also replicated 18 months later. Tests for equality of measurement model parameters and test-retest correlations indicated support for the temporal stability of the scale. In addition, the results were consistent with most of the predicted differences between groups characterized by different patterns of change/stability in union participation status. The study provides strong support for the construct validity of the scale and indicates that it can be used in future theory testing on instrumental and ideological union commitment.

Representation of bolted joints in a structure using finite element modelling and model updating

2020 ◽  
Vol 14 (3) ◽  
pp. 7141-7151 ◽  
Author(s):  
R. Omar ◽  
M. N. Abdul Rani ◽  
M. A. Yunus
Keyword(s):  
Finite Element ◽  
Dynamic Behaviour ◽  
Model Updating ◽  
Complex Structure ◽  
Bolted Joints ◽  
Model Parameters ◽  
Fe Model ◽  
Bolted Joint ◽  
Fe Modelling ◽  
Joint Structure

Efficient and accurate finite element (FE) modelling of bolted joints is essential for increasing confidence in the investigation of structural vibrations. However, modelling of bolted joints for the investigation is often found to be very challenging. This paper proposes an appropriate FE representation of bolted joints for the prediction of the dynamic behaviour of a bolted joint structure. Two different FE models of the bolted joint structure with two different FE element connectors, which are CBEAM and CBUSH, representing the bolted joints are developed. Modal updating is used to correlate the two FE models with the experimental model. The dynamic behaviour of the two FE models is compared with experimental modal analysis to evaluate and determine the most appropriate FE model of the bolted joint structure. The comparison reveals that the CBUSH element connectors based FE model has a greater capability in representing the bolted joints with 86 percent accuracy and greater efficiency in updating the model parameters. The proposed modelling technique will be useful in the modelling of a complex structure with a large number of bolted joints.

A Note on Confidence Intervals and Model Specification

Marketing ZFP ◽  
2019 ◽  
Vol 41 (4) ◽  
pp. 33-42
Author(s):  
Thomas Otter
Keyword(s):  
Confidence Intervals ◽  
Generalized Linear Model ◽  
Statistical Information ◽  
Regression Coefficients ◽  
Model Specification ◽  
Model Parameters ◽  
Exploratory Research ◽  
Empirical Calibration ◽  
Credible Intervals ◽  
Model Structures

Empirical research in marketing often is, at least in parts, exploratory. The goal of exploratory research, by definition, extends beyond the empirical calibration of parameters in well established models and includes the empirical assessment of different model specifications. In this context researchers often rely on the statistical information about parameters in a given model to learn about likely model structures. An example is the search for the 'true' set of covariates in a regression model based on confidence intervals of regression coefficients. The purpose of this paper is to illustrate and compare different measures of statistical information about model parameters in the context of a generalized linear model: classical confidence intervals, bootstrapped confidence intervals, and Bayesian posterior credible intervals from a model that adapts its dimensionality as a function of the information in the data. I find that inference from the adaptive Bayesian model dominates that based on classical and bootstrapped intervals in a given model.

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