limits of model

USAGE SUMMARY

The phrase "limits of model" is correct and usable in written English.
It can be used when discussing the constraints or boundaries of a particular model, whether in scientific, mathematical, or theoretical contexts. Example: "When analyzing the data, we must consider the limits of the model to ensure our conclusions are valid."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

5 human-written examples

An inveterate tinkerer who enjoyed, above all, pushing the limits of model planes, he set 25 world records for speed, duration and altitude, for both powered flights and gliders.

The New York Times

The difference between the coarsening limits of model B and C, e.g., the regular Mullins-Sekerka problem and the Mullins-Sekerka with kinetic drag problem is obvious.

Materials Theory

Our derivations of the asymptotic limits of model C for high and low driving forces are consistent with and can be viewed as generalizations of their model B counterparts.

Materials Theory

Such chemicals with few to no neighbors in the calculation report (https://comptox.epa.gov/dashboard/dsstoxdb/calculation_details?model_id=22&search=27633) do not have enough representatives in the training sets of the models and indicate the limits of model reliability.

Journal of Cheminformatics

Based on the limits of model C derived above, it is clear that model C is able to incorporate the surface attachment kinetics into the overall growth kinetics, as opposed to model B which can only describe diffusion-controlled growth.

Materials Theory

Human-verified similar examples from authoritative sources

Similar Expressions

55 human-written examples

Hurricanes usually fall under a different category, though they too prove the limits of modelling in this day and age.

The Guardian

Prediction uncertainties, found at high wind speed, essentially originate from assumptions adopted in the modeling and the limits of models used to predict aerodynamic coefficient in the non-steady case.

International Journal of Energy and Environmental Engineering

Now we show how the coarsening limit of model B just discussed reduces to the famous rate theory approximation.

Materials Theory

This is the first time where a scaling limit of model C is shown to recover the Mullins-Sekerka model with a kinetic drag.

Materials Theory

Now we embark on the task of determining the low driving forces limit of model C as was done before for model B. Again, we assume all the driving forces are of O as in Eq. (35).

Materials Theory

Limit of model This work is an attempt to find an equation which takes into account the properties of a semi-aride area (geological, hydro-climatic characteristics); however, the limit of application of this model is depending on the two parameters (rainfall, and temperature) (Table 8).

Applied Water Science

Expert writing Tips

Best practice

Always define the scope of a model to avoid over-generalization, detailing what falls inside and outside the "limits of model".

Common error

Avoid presenting a model as universally applicable. Acknowledge and clearly state the "limits of model" to maintain transparency and avoid misleading interpretations.

Linguistic Context

The phrase "limits of model" functions as a noun phrase, typically serving as the subject or object of a sentence. It identifies the boundaries, constraints, or scope within which a particular model is valid or effective. According to Ludwig, this phrase is usable in written English.

Expression frequency: Rare

Frequent in

Science

80%

News & Media

20%

Formal & Business

0%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "limits of model" is grammatically sound and primarily found in scientific and news contexts, indicating its role in academic discussions and public understanding. According to Ludwig, the expression is usable in written English. The expression is mostly used in science contexts. When using the phrase, consider alternative expressions like "model's constraints" or "model's scope" to refine the message. Awareness of these limits is crucial for accurate interpretation and responsible application. Always specify what kind of data or scenarios trigger the limitations.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

model's constraints

Focuses on the restrictions or limitations imposed on the model, instead of its boundaries.

model's boundaries

Emphasizes the demarcation lines or edges of what the model can effectively represent or handle.

model's scope

Highlights the range or extent of the model's applicability and effectiveness.

model's applicability

Focuses on where and under what conditions the model can be correctly applied.

model's weaknesses

Shifts the focus to the shortcomings or vulnerabilities inherent in the model.

model's shortcomings

Similar to "model's weaknesses", it points out the deficiencies or failings of the model.

model's deficiencies

This refers to the inadequacies or imperfections of the model.

model's restrictions

Emphasizes the rules or conditions that limit the model's performance or use.

model's confines

Highlights what the model is limited to or enclosed by, either conceptually or practically.

model's parameters

Focuses on the specific values or conditions that define the model's operational space, which indirectly implies limitations.

FAQs

How can I phrase the "limits of model" in a sentence?

You can use phrases like "the "model's constraints"", "the "model's scope"", or "the "model's applicability"" to discuss the boundaries of a model.

What are some common limitations of models?

Common limitations include reliance on simplified assumptions, sensitivity to input data, inability to account for unforeseen factors, and a limited range of applicability. Understanding these limitations is crucial for appropriate interpretation and use.

How do I identify the "limits of model" in my research?

Start by examining the assumptions made during model development, the data used for training and validation, and the range of conditions under which the model was tested. Look for situations where the model's predictions diverge from real-world observations.

Why is it important to acknowledge the "limits of model"?

Acknowledging the limits helps prevent over-reliance on the model, avoids misinterpretation of results, and promotes responsible use. Recognizing limitations also guides future model improvements and refinements.