The phrase "a more reliable model" is correct and usable in written English.
You can use it when comparing the reliability of different models or systems, indicating that one is superior in terms of dependability.
Example: "After testing several algorithms, we concluded that a more reliable model would improve our predictions significantly."
Alternatives: "a more dependable model" or "a more trustworthy model".
Therefore, surface composite design was used to develop a more reliable model.
This structure allowed a more precise analysis of the active site, generating a more reliable model for substrate binding.
All the locks were distributed by the National Shooting Sports Foundation, a trade association for gun makers, which is offering to replace them with a more reliable model free of charge.
Developments and advances in experimental technologies providing useful data make it possible to identify civil engineering structures and to obtain a more reliable model characterizing the existing condition for decision making.
More recently, the 3-D structure of human PNP has been refined to 2.3 Å resolution, which allowed a redefinition of the residues involved in the substrate-binding sites and provided a more reliable model for structure-based design of inhibitors.
Thus a more reliable model can be obtained by choosing the relevant fractional index according to real data.
The aim of restricted network complexity was also achieved by only assuming linear associations between the individual components of the network, allowing a more reliable modeling of data with considerable noise.
I desperately wanted a newer, more reliable model, but I didn't make enough money to qualify for a loan.
Of the two murine cell lines, GLUTag and STC-1, the former is perhaps the more reliable model of GLP-1 release, as it was established from a colonic tumour from a transgenic mouse expressing SV40 large T antigen driven by the proglucagon promoter [ 18].
Precise parameter values will result in more reliable model simulations, which can be used for interpretation, or can in turn serve to plan subsequent sampling campaigns to further constrain the model parameters.
To allow for a physically more reliable modeling of the stochastic properties in the VLBI data analysis, we now directly consider small-scale dynamic processes in the atmosphere.
