gaussian shape
Học thuậtThân thiện
Definition
- Noun:
- A symmetrical curve representing the normal distribution: A "Gaussian shape" is the characteristic bell-shaped curve that describes the distribution of many natural phenomena and data sets around a mean value. It is named after the mathematician Carl Friedrich Gauss.
Usage
- The term "Gaussian shape" is used primarily in statistics, mathematics, and various scientific fields to describe the visual form of data that follows a normal distribution.
- It functions as a countable noun (e.g., , ).
Examples
- Noun:
- The data points formed a perfect Gaussian shape on the graph.
- When plotting the results, we observed the characteristic Gaussian shape.
- Many biological measurements, like height, approximate a Gaussian shape.
Advanced Usage
- "To approximate a Gaussian shape": To nearly form or resemble the bell curve.
- The sample distribution began to approximate a Gaussian shape as we collected more data.
- "Deviate from a Gaussian shape": To not follow the standard bell curve pattern.
- The financial returns often deviate from a Gaussian shape, showing "fat tails".
Variants and Related Words
- Gaussian distribution (n): Another term for the normal distribution.
- The Gaussian distribution is fundamental to statistical theory.
- Gaussian curve (n): A direct synonym for Gaussian shape.
- The histogram was fitted with a smooth Gaussian curve.
- Bell curve (n): A common informal name for the Gaussian shape.
- Student grades are sometimes assumed to follow a bell curve.
Synonyms
- Normal curve: A curve representing a normal distribution.
- Bell-shaped curve: A descriptive synonym emphasizing the visual form.
Related Phrases
- Gaussian function: The mathematical equation that produces the Gaussian shape.
- The Gaussian function includes parameters for mean and standard deviation.
- Gaussian noise: In signal processing, noise with a Gaussian amplitude distribution.
- The model assumes the presence of additive Gaussian noise.
Noun
- a symmetrical curve representing the normal distribution