Sentence examples for suitability of the data from inspiring English sources
The goal is for students to learn to evaluate the suitability of the data and the econometric techniques for providing an answer to the question at hand.
To examine the suitability of the data for FA, Kaiser Meyer Olkin (KMO) and Bartlett's test were performed.
The suitability of the data modeling was analyzed through the statistical error functions, such as sum of square errors (SSE) and Chi square (χ2).
The Kaiser-Meyer-Olkin measure (0.79) and Bartlett's test of sphericity (p < 0.001) were examined, both suggesting the suitability of the data for factor analysis.
The final diagnostic check for the suitability of the data for factor analysis was the factorability of R. Low bivariate correlations (< .30) indicate that factor analysis could be inappropriate for the given data.
Kaiser-Mayer-Olkin's (KMO) measure of sampling adequacy was computed to assess the suitability of the data for factor analysis.
By exploring various possibilities of implementations and by extensive empirical testing we manage to show the suitability of the data-flow paradigm for the simplex algorithm, as well as pinpoint the strengths and some of the weaknesses of the used architecture.
Finally, we present experimental data evaluating the performance of the proposed algorithm and demonstrating the suitability of this data structure for the purpose it was designed to serve.
The suitability of the GUHA data mining method in analyzing a big data matrix is studied in this report in general, and, in particular, a data matrix containing more than 80,000 road traffic accidents occurred in Finland in 2004 2008 is examined by LISp-Miner, a software implementation of GUHA.
The ability of the sequence data to fully represent expression of core metabolic functions would indicate the suitability of the transcriptomic data to investigate all predicted metabolic pathways.
In this study, we investigated the suitability of the GUHA data mining method and the LISp-Miner software to extract relevant information from a big data matrix in general, and in particular a (100 times 83500) data matrix related to road traffic accidents that occurred in Finland in 2004 2008.
