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These two methodologies have similarities and differences; in this paper we clarify their roles.
The datasets generated by applying A and B to the disease are called contrast groups and, main differences between the groups are the mean and distribution differences, referred to structural differences in this paper.
Inspired by the papers above, we will investigate the complete moment convergence for randomly weighted sums of martingale differences in this paper, which implies the complete convergence and Marcinkiewicz-Zygmund-type strong law of large numbers for this stochastic process.
Many of the observed differences in this paper could only be presented as tendencies of variations.
It is suggested that the reason for the observed average velocity differences in this paper relates specifically to the clinical intent of the palpatory process.
Since the similarities between communication patterns in San Francisco and Copenhagen were so much larger than the differences, in this paper we will not further dwell on the differences.
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But we only consider the following H-difference in this paper.
A main difference in this paper is however that the methodology is altered to rank freight flows according to their potential for modal shift from greater to smaller.
By understanding this difference, in this paper, an ex ante control chart is proposed which has a particular attention on the project-specific assumptions while sharing some common characteristics with the classical charts.
With the differences illustrated in this paper for different length of cavity, it is recognized that the effect of length of cavity cannot be neglected in analysis and design.
Similarly, the hemispheric differences presented in this paper can be interpreted independently of the relatively large differences in the Earth's magnetic field in the two polar regions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com