We did not try assigning thresholds of our own definition to these quantitative traits at any stage, but rather preferred to use clustering by statistical methods such as EM so as to minimize bias in assigning presence/absence scores.
Risk calculations are typically done by statistical methods, such as Kaplan-Meier analyses and Cox's proportional hazards models, that are based on the assumption that observed events are independent, and this is rarely appreciated.
The collected Raman spectra were analyzed by different statistical methods such as principal component analysis, linear discriminant analysis, and genetic algorithm.
Last, by using statistical methods such as ANOVA and effect size measure, the difference of comparison algorithms were investigated with respect to the APFD results.
The objective of this study include identification of water types, origin, and geochemical processes influencing the composition of water by multivariate statistical methods such as correlation matrix and principal component analysis (PCA).
In some NNs, the output signal of the node is transferred to another node by multi-branches with arbitrary time delays, which are random, and its probabilities can often be measured by the statistical methods such as normal distribution, uniform distribution, Poisson distribution, Bernoulli random binary distribution.
This method could solve most of the problems faced by traditional statistical methods, such as the spatial autocorrelation and the potential dependence between the covariates [ 47].
The aim is always to assess, by different statistical methods such as multiple logistic regressions or propensity scoring, the risk factors that affect the outcome of septic patients.
Previous work aiming to compare and assess such methods includes a 2009 article by Bender and coworkers, in which 37 molecular fingerprints were compared and their similarities were quantified (based on their rank-orderings of the same dataset) by means of statistical methods, such as principal component analysis (PCA) [5].
The government urgently needs to evaluate the loss caused by injuries, using statistical methods such as time series.
In the present paper we study the statistical properties of the Italian daily electricity load market, by mean of different statistical methods, such, e.g., the exponential smoothing model, the ARMA-ARIMA model and the ARIMA-GARCH model, also providing results about the goodness of each of the proposed approaches.
