Assessments of S-NPP and N20 VIIRS DNB and M bands calibration stability and consistency using a homogeneous ground target

When a numerical model is to be used as a practical tool, its parameters should preferably be stable and consistent, that is, possess a small uncertainty and be time-invariant. Using data and predictions of alongshore mean currents flowing on a beach as a case study, this paper illustrates how parameter stability and consistency can be assessed using Markov chain Monte Carlo. Within a single calibration run, Markov chain Monte Carlo estimates the parameter posterior probability density function, its mode being the best-fit parameter set. Parameter stability is investigated by stepwise adding new data to a calibration run, while consistency is examined by calibrating the model on different datasets of equal length. The results for the present case study indicate that various tidal cycles with strong (say, >0.5 m/s) currents are required to obtain stable parameter estimates, and that the best-fit model parameters and the underlying posterior distribution are strongly time-varying. This inconsistent parameter behavior may reflect unresolved variability of the processes represented by the parameters, or may represent compensational behavior for temporal violations in specific model assumptions.

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An effective algorithm for location and tracking the ground target based on near space vehicle

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) ◽

10.1109/fskd.2015.7382344 ◽

2015 ◽

Cited By ~ 1

Author(s):

Fulai Liu ◽

Ruiyan Du ◽

Hui Jia

Keyword(s):

Space Vehicle ◽

Effective Algorithm ◽

Near Space ◽

Ground Target

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Going through the motions

Journal of Global Mobility The Home of Expatriate Management Research ◽

10.1108/jgm-11-2015-0050 ◽

2016 ◽

Vol 4 (2) ◽

pp. 149-175 ◽

Cited By ~ 4

Author(s):

Annamaria Kubovcikova

Keyword(s):

Internal Consistency ◽

Structural Equation ◽

Three Dimensional ◽

Equation Modeling ◽

Content Type ◽

Multiple Indicators ◽

Concept Definition ◽

Confirmatory Factor ◽

Reflective Measurement ◽

Stability And Consistency

Purpose – The purpose of this paper is to test the properties of the well-known three-dimensional adjustment scale, established by Black et al. (1988, 1989), namely, its dimensionality and internal consistency. The theoretical basis of the construct is discussed in relation to formative and reflective measurement approaches. Design/methodology/approach – Two different ways of organizing the adjustment items (random/non-random) were used to assess the internal consistency of the three-dimensional adjustment scale. The quantitative analysis presented is based on survey data from 468 assigned expatriates in Asia that were subjected to an exploratory and confirmatory factor analysis as well as a structural equation modeling – more specifically the multiple indicators multiple causes model (MIMIC). Findings – The study revealed that the adjustment construct is possibly misspecified, especially the general adjustment dimension, that was tested as a formative, not a reflective scale. There is further evidence that the wrong measurement approach skewed the coefficient that connects adjustment to performance, which is the key construct in its nomological network. Moreover, the dimensionality and the internal consistency of the scale are deteriorated to a large extent by randomization of the items. The findings highlight the need for a clear concept definition that would lead to an appropriate operationalization of the construct. Originality/value – The study is one of the few rigorously testing the properties of a construct that has been used for almost 30 years, thus yielding some novel conclusions about its stability and consistency.

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