Sentence examples for more flexible methodologies from inspiring English sources

But the punishing pace of web-based development has also given birth to a host of more flexible methodologies that deal with the real-world challenge of getting a bunch of wayward nerds to collaborate on getting a product out of the door.Several of these methodologies were represented at the Utah meeting by their original developers or key proponents.

To avoid these problems, more flexible methodologies that are able to perform hyper-spectral data decorrelation have to be devised.

The main objective is to present a more flexible methodology for political assessment comparing to traditional methods.

We found that studies labeled 'feasibility' were conducted with more flexible methodology compared to those labeled 'pilot'pilot

Specifically, an autoregressive integrated moving average (ARIMA) approach may be suitable for part of our data where spatially aligned time-series can be identified as may be a more flexible methodology of Calder et al[ 23, 24].

Methods i), ii) and iii) yielded similar results as the Bayesian analysis corresponding to a0 = 1 in Table  2 for both RFS and OS showing that our Bayesian analysis using a0 = 1 essentially yields the same results as these three frequentist methods as well as being a more flexible methodology for incorporating historical data.

A Multi-Agent System was chosen for the implementation of AALFI over a centralized system as it is a more flexible and extendable methodology.

The artificial neural networks (ANN) approach is proposed for training-predicting the database in this paper since it is a more flexible and assumption-free methodology.

In practice, however, in fields where theories and methodologies are more flexible and open to interpretation, bias is expected to be higher [45].

Higher education is more flexible in teaching pedagogy and methodology than K-12 education, but teachers do have a lot of influence over how their classrooms are managed.

As a solution for this issue, the inclusion of additional parameters to a well-defined distribution has been indicated as a good methodology for providing more flexible new classes of distributions.