peak mean

USAGE SUMMARY

The phrase "peak mean" is not a standard expression in written English and may cause confusion.
It could be used in contexts related to statistics or data analysis, but it would require clarification or additional context to be understood properly. Example: "The peak mean of the dataset indicates the highest average value observed during the study period."

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The counts were normalized by divided by the peak mean count of the green channel.

Earth, Planets and Space

However, as 90 of the 135 substations (67%) have a peak mean position R6 between 5.30 pm (half hour 35), and the maximum peak mean position of 7 02 pm (half hour 38.08), this RMSE is perhaps unexpected (Fig. 1).

Mathematics-in-Industry Case Studies

The RMSE of 3.811 for peak mean position R6 indicates that on average, the peak is only 2 h incorrect.

Mathematics-in-Industry Case Studies

The configuration used yields a significant explosion with an over-pressure close to 100 kPa and peak (mean) flow velocities approaching 100 m/s.

Combustion and Flame

While the peak mean soot volume fraction increases with increasing XaxO2 within the range below (XaxO2 trans, it is reduced with increasing XaxO2 beyond (XaxO2 trans.

Combustion and Flame

The mean raw count per pixel per cd/m2 is normalized by divided by the peak mean count of the green channel.

Earth, Planets and Space

The standardised RMSE suggests that peak mean position R6 and value R8 are the easiest to predict (Table 1), which is good for a DNO.

Mathematics-in-Industry Case Studies

The spatial variability in the seasonality index – the ratio of peak mean monthly value to the annual total – of runoff over the eastern US primarily depends on the covariability between monthly moisture and energy cycles.

Journal of Hydrology

The combustion models based on fast chemistry approximation are seen to predict the peak mean reaction rate much higher (about two orders of magnitude) compared to DNS data, particularly in the mixing layer region where the reaction is taking place.

Combustion and Flame

The peak mean radiation intensity is approximately 15% larger for the DME nonpremixed flames and 30% larger for the DME partially premixed flames in comparison to the corresponding methane flames.

Combustion and Flame

Model results showed no increase in the peak mean annual total effective dose equivalent (TEDE) within a compliance period of 10,000 years, although this is strongly dependent on container life in the base case scenario.

Journal of Contaminant Hydrology

Expert writing Tips

Best practice

When using the phrase "peak mean", ensure that the context clearly defines what data is being averaged and what the peak represents. Clarity is key due to the inherent ambiguity.

Common error

Avoid assuming that "peak mean" always refers to the absolute highest average across an entire dataset. It may represent a localized peak within a specific subset or time frame. Always specify the scope of the peak and the mean.

Linguistic Context

The phrase "peak mean" functions as a noun phrase, typically used to describe a specific statistical value. It refers to the highest average observed within a dataset or subset. As Ludwig AI explains, clarity is key due to potential ambiguity.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "peak mean" is a noun phrase commonly used in scientific and academic contexts to denote the highest average value within a dataset. As Ludwig AI points out, while prevalent, this term can be ambiguous. Therefore, clear contextualization is essential to avoid misinterpretations. Alternatives such as "maximum average" or "highest mean value" may offer enhanced clarity depending on the specific application. The frequency of "peak mean" in scientific literature underscores its importance in quantitative analysis, making it a valuable phrase to understand and use with precision.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

maximum average

Replaces "peak" with "maximum" for emphasis on the highest average value.

highest mean value

More explicit language, clarifying that the "peak" refers to the highest mean.

peak average value

Interchanges the order of "peak" and "mean" while keeping the meaning consistent.

maximum average

Focuses on the highest average observed.

average peak

Highlights the average of all peak values.

mean at peak

Indicates the average specifically at the point of the peak.

average maximum

The maximum of averages.

maximum of the mean

Describes the highest point within the average data.

peak of average

Expresses where the average reaches its highest point.

top average

Informal term for the highest average.

FAQs

How is "peak mean" used in data analysis?

In data analysis, "peak mean" typically refers to the highest average value observed within a specific dataset or a subset of that dataset. It's often used to identify significant points or periods of high activity or concentration.

What are some alternatives to saying "peak mean"?

Depending on the context, you can use alternatives like "maximum average", "highest mean value", or "peak average value". Choose the phrase that best clarifies the specific measurement you are describing.

What is the difference between "peak mean" and "average peak"?

"Peak mean" refers to the highest value among a set of averages, while "average peak" refers to the average of a set of peak values. They describe different calculations and may yield different results. "Average peak" focuses on individual peaks before averaging, whereas "peak mean" averages data first.

How to avoid ambiguity when using the term "peak mean"?

To avoid ambiguity, clearly define the dataset being analyzed, the method used to calculate the mean, and what the "peak" represents. Providing specific context and units of measurement is crucial for accurate interpretation.