simulated data

USAGE SUMMARY

"simulated data" is correct and usable in written English.
You can use it when referring to data that has been created using a model or algorithm, or when referring to data created in a controlled environment (as opposed to real-world data). For example, "The researchers used simulated data to test their hypothesis."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

58 human-written examples

In each simulation, 1000 simulated data sets were generated.

BMC Systems Biology

Experimental and simulated data.

Nanoscale Research Letters

C: simulated data after smoothing.

EJNMMI Research

B: simulated data before smoothing.

EJNMMI Research

Fig. 7 Performance of simulated data.

EURASIP Journal on Advances in Signal Processing

(a) Experimented data and simulated data.

EURASIP Journal on Advances in Signal Processing

c Vary reverberation time simulated data.

EURASIP Journal on Advances in Signal Processing

The methods are compared on simulated data.

The Journal of Mathematical Neuroscience

The method was validated on simulated data.

EJNMMI Research

(a) The processed result of simulated data.

EURASIP Journal on Advances in Signal Processing

Figure 5 Performance on simulated data.

Journal of Cheminformatics

Expert writing Tips

Best practice

When describing the creation of "simulated data", specify the model, algorithm, or parameters used to generate it. This enhances transparency and reproducibility.

Common error

Avoid generalizing findings from "simulated data" directly to real-world scenarios without proper validation. Simulated data provides insights, but it's essential to acknowledge its limitations and potential biases.

Linguistic Context

The phrase "simulated data" functions as a noun phrase, where "simulated" acts as an adjective modifying the noun "data". As noted by Ludwig, it's considered correct and suitable for written English.

Expression frequency: Very common

Frequent in

Science

97%

News & Media

1%

Formal & Business

1%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "simulated data" is a grammatically sound and frequently used term, especially within scientific and technical domains. Ludwig confirms its correctness for written English. It refers to data generated through models or algorithms, often for testing and analysis. While useful, it's crucial to validate any conclusions drawn from "simulated data" with real-world observations when possible. Alternatives such as "synthetic data" and "modeled data" offer nuanced ways to describe this concept.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

synthetic data

This term emphasizes the artificial nature of the data, highlighting that it's not derived from real-world observations but rather generated by a computer or model.

modeled data

This term focuses on the process by which the data was generated. It points to data produced through a specific model.

computer-generated data

This phrase is more explicit about the origin of the data, specifying that it was created by a computer.

artificial data

Similar to synthetic data, this term underscores that the data is not genuine but created.

test data

This highlights the function of data, which is to test a model or algorithm. This may or may not be simulated.

dummy data

This phrase is often used when the data is placeholder and not necessarily intended for analysis but instead testing configurations.

fabricated data

This term should be avoided as it has strong negative connotations of dishonesty and fraud. It indicates that the data was invented and falsely presented as real.

prototypical data

This refers to data that represents a typical instance or example, often generated to demonstrate or test a system.

replicated data

This phrase implies that the data is generated through a replication process, often to test the reproducibility of results.

experimental data

This emphasizes that the data comes from a controlled experiment, which may involve simulations.

FAQs

How is "simulated data" used in research?

"Simulated data" is often used to test hypotheses, validate models, and explore scenarios that are difficult or impossible to study with real-world data. It provides a controlled environment for analysis and experimentation.

What are the alternatives to using "simulated data"?

Alternatives to "simulated data" include using real-world data, conducting experiments, or employing case studies. The choice depends on the research question, available resources, and ethical considerations.

What's the difference between "synthetic data" and "simulated data"?

While often used interchangeably, "simulated data" typically refers to data generated by a specific model to mimic real-world processes, whereas "synthetic data" can encompass a broader range of artificially created data, not necessarily tied to a particular simulation.

How do I properly cite "simulated data" in a research paper?

When citing "simulated data", provide details about the simulation model, parameters, and software used to generate the data. Include this information in the methods section or as supplementary material to ensure transparency and reproducibility.