Validating quantitative data model

A stub is an entry that did not yet receive substantial attention from editors, and as such does not yet contain enough information to be considered a real article.

In other words, it is a short or insufficient piece of information and requires additions.“The combinations and comparisons of multiple data sources, data collection and analysis procedures, research methods, or inferences that occur at the end of a study., Denzin (1978) used the terms data triangulation, theory triangulation and methodological triangulation.

as a measure of model validity is that it can always be increased by adding more variables into the model, except in the unlikely event that the additional variables are exactly uncorrelated with the dependent variable in the data sample being used.

The residuals from a fitted model are the differences between the responses observed at each combination values of the explanatory variables and the corresponding prediction of the response computed using the regression function.

The measured temperature distribution was matched, by trial and error, with the temperature distribution calculated by the model after a simulated geologicaltime, without any production, thus validating the conceptual model.

The locations and extent of recharge and discharge and the permeability distribution were the main fitting parameters.

On the other hand, if non-random structure is evident in the residuals, it is a clear sign that the model fits the data poorly.By mixing both quantitative and qualitative research and data, the researcher gains in breadth and depth of understanding and corroboration, while offsetting the weaknesses inherent to using each approach by itself.One of the most advantageous characteristics of conducting mixed methods research is the possibility of triangulation, i.e., the use of several means (methods, data sources and researchers) to examine the same phenomenon.Harry Markowitz is generally credited with beginning the quantitative investment movement when he published a “Portfolio Selection” in the Journal of Finance in March of 1952.Markowitz used math to quantify diversification, and is cited as an early adopter of the concept that mathematical models could be applied to investing.