Traducción y análisis de palabras por inteligencia artificial ChatGPT
En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:
- cómo se usa la palabra
- frecuencia de uso
- se utiliza con más frecuencia en el habla oral o escrita
- opciones de traducción
- ejemplos de uso (varias frases con traducción)
- etimología
range estimation - traducción al español
![Histogram and density function for a Gumbel distribution <ref>[https://www.waterlog.info/cumfreq.htm A calculator for probability distributions and density functions]</ref>](https://commons.wikimedia.org/wiki/Special:FilePath/Gumbel distribtion.png?width=200 "Histogram and density function for a Gumbel distribution <ref>[https://www.waterlog.info/cumfreq.htm A calculator for probability distributions and density functions]</ref>")
![Measuring a length in wavelengths of light using an [[interferometer]].](https://commons.wikimedia.org/wiki/Special:FilePath/Michelson interferometer with corner cubes.png?width=200 "Measuring a length in wavelengths of light using an [[interferometer]].")
* far-ranging = variado, de gran repercusión, de largo alcance
* wide-ranging [wide ranging] = bastante general, variado, general
.jpg?width=200 "Electronic targets in use at the British Airgun Championship.")
![NSRA's]] Malcolm Cooper 50 Metre Range on [[Bisley Camp]], UK](https://commons.wikimedia.org/wiki/Special:FilePath/Malcolm Cooper 50Metre Range, Lord Roberts Centre.jpg?width=200 "NSRA's]] Malcolm Cooper 50 Metre Range on [[Bisley Camp]], UK")
Definición
Wikipedia
In statistics, probability density estimation or simply density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to which a large population is distributed; the data are usually thought of as a random sample from that population.
A variety of approaches to density estimation are used, including Parzen windows and a range of data clustering techniques, including vector quantization. The most basic form of density estimation is a rescaled histogram.
