The phrase "application of statistical models" is correct and usable in written English.
It can be used in contexts related to data analysis, research, or any field where statistical methods are applied to solve problems or make predictions.
Example: "The application of statistical models in this study has provided valuable insights into consumer behavior."
Alternatives: "use of statistical models" or "implementation of statistical models".
An MBA and former president of the Ford Motor Company, McNamara pioneered an analytical style of policymaking that relied on the collection of empirical data and the application of statistical models to inform public choice.
Strategies to evaluate the false discovery rate for mass spectrometry results include searching against concatenated (chimeric database, composed from targeted and decoy database) [83] or decoy database [84], application of statistical models [85, 86], or utilization of scoring system [87].
The application of statistical models for survival analysis in the analysis of sickness absence is relatively new, 24 25 and the use of multistate models is mainly due to Lie et al, 26 but multistate models have also been applied by other researchers.
Past studies have often focused on studying this phenomenon by the application of statistical modelling based on response surface designs.
Recent increased interest in the application of statistical modeling to medicine, biomedicine, public health, biology, biomechanics and environmental science has largely been driven by the need for good data to inform government policy and planning processes for health service delivery and disease prevention.
This paper investigates the potential for using quantitative applications of statistical models of habitat suitability based on marine animal tracking data to identify key feeding areas.
However, those who want to find hard conclusions made on large data samples or applications of statistical modelling can be disappointed.
Some relatively recent research has addressed the development of statistical models of wavelet coefficients of natural images and application of these models to image denoising [3 9].
Furthermore, this study investigates on the application of the statistical models in steam reforming of methane.
Application of linear statistical models to ordinal data can result in biased estimates of factor loadings [ 19- 22].
One of the limitations is that the sample size of the groups was relatively small; this did not allow application of alternative statistical models.
