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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
quantity of interest
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "quantity of interest" is correct and usable in written English.
You can use it when referring to a particular amount or amount of something. For example, "This data set contains a large quantity of interest for researchers."
✓ Grammatically correct
Science
Academia
News & Media
Alternative expressions(20)
variable of interest
parameter of interest
metric of interest
target variable
outcome of interest
aspect of interest
item of interest
key performance indicator
plethora of interest
volume of interest
lot of interest
multitude of interest
variety of interest
number of interest
abundance of interest
amount of interest
length of interest
frequency of interest
degree of interest
intake of interest
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
59 human-written examples
Moreover, the accuracy of the representation improves no matter the regularity of the random quantity of interest.
The adjoint or dual problem is described by defining the quantity of interest in a functional form.
Science
The most important quantity of interest in finite population sampling is usually the population total or the population mean.
Science
This paper proposes a statistical method to evaluate a quantity of interest with an expensive simulator while saving computation time.
Science
The predictive Bayesian approach presented generates probability distributions for the quantity of interest (rather than parameters thereof).
Hence, the quantity of interest of this model is defined on both a parametric space and a stochastic space.
An approach to provide information about the accuracy of the quantity of interest is proposed here-in.
These measurements are sufficient to determine the partition function, from which any thermodynamic quantity of interest, such as entropy S, can be calculated.
Science & Research
In this paper, we show that the bias can be avoided by focusing on a quantity of interest called the controlled direct effect.
Academia
In this article, we show that the bias can be avoided by focusing on a quantity of interest called the controlled direct effect.
Academia
When IE is violated, the effect of the manipulation need not correspond to the quantity of interest (the effect of beliefs about the focal attribute).
Academia
Expert writing Tips
Best practice
When writing technical documentation, clearly define what the "quantity of interest" represents to ensure clarity and avoid ambiguity for your audience.
Common error
Avoid using "quantity of interest" without clearly specifying what it is in the context. Always provide a concrete definition or example to prevent misinterpretation.
Source & Trust
83%
Authority and reliability
4.6/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "quantity of interest" functions as a noun phrase, typically serving as the subject or object of a sentence. It denotes a specific variable, parameter, or outcome that is the focus of an analysis, study, or investigation. Ludwig AI confirms its correctness.
Frequent in
Science
75%
Academia
15%
News & Media
10%
Less common in
Formal & Business
0%
Encyclopedias
0%
Wiki
0%
Ludwig's WRAP-UP
In summary, "quantity of interest" is a well-established noun phrase used to denote a specific variable, parameter, or outcome that is the primary focus of a study or analysis. As Ludwig AI confirms, it's grammatically correct and frequently appears in scientific and academic contexts. When using this phrase, ensure that you define it clearly to avoid ambiguity. Alternatives such as "variable of interest" or "parameter of interest" can provide simpler phrasing while maintaining the intended meaning.
More alternative expressions(10)
Phrases that express similar concepts, ordered by semantic similarity:
variable of interest
Replaces "quantity" with "variable", emphasizing the aspect being studied is a variable.
parameter of interest
Replaces "quantity" with "parameter", focusing on a specific parameter being analyzed.
metric of interest
Substitutes "quantity" with "metric", highlighting that it is a measurable aspect.
outcome of interest
Focuses on the outcome that researchers or analysts are trying to determine.
measure of interest
Emphasizes the aspect being measured or assessed in a particular study.
aspect of interest
Uses "aspect" to denote a particular feature or characteristic being examined.
item of interest
Replaces "quantity" with "item", suggesting a specific element that is relevant.
target variable
This is more direct and used in statistics, indicating a variable one aims to model or predict.
key performance indicator
Used in a more business-oriented or project management context.
focus variable
This highlights that the variable is at the center of the analysis or study.
FAQs
How do I define the "quantity of interest" in a research paper?
Start by clearly stating the variable or parameter you are analyzing. For instance, if studying climate change, the "quantity of interest" might be average global temperature or sea level rise. Define it precisely and explain its relevance to your research question.
What's a simpler way to say "quantity of interest"?
Depending on the context, you can use alternatives like "variable of interest", "parameter of interest", or "metric of interest". These options often simplify the phrasing while maintaining the same meaning.
In statistical modeling, is "quantity of interest" the same as "target variable"?
While they are related, "target variable" is often used specifically in the context of predictive modeling to refer to the variable being predicted. The "quantity of interest" is a broader term that can refer to any variable or parameter being analyzed, whether for prediction or other purposes. For instance, "target variable" is commonly used.
How does the "quantity of interest" relate to Bayesian analysis?
In Bayesian analysis, the "quantity of interest" is the variable or parameter about which you want to make inferences. A prior distribution is assigned to this "quantity of interest", and observed data is used to update this prior, resulting in a posterior distribution that reflects updated knowledge.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
83%
Authority and reliability
4.6/5
Expert rating
Real-world application tested