Traduzione e analisi delle parole tramite l'intelligenza artificiale ChatGPT
In questa pagina puoi ottenere un'analisi dettagliata di una parola o frase, prodotta utilizzando la migliore tecnologia di intelligenza artificiale fino ad oggi:
- come viene usata la parola
- frequenza di utilizzo
- è usato più spesso nel discorso orale o scritto
- opzioni di traduzione delle parole
- esempi di utilizzo (varie frasi con traduzione)
- etimologia
Cosa (chi) è range estimation - definizione
![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>")
![Baby free range [[chicken]] in the hand of a person in [[Ishwarganj Upazila]], [[Mymensingh]], [[Bangladesh]]](https://commons.wikimedia.org/wiki/Special:FilePath/Baby Chicken in Ishawarganj, Mymensingh, Bangladesh.jpg?width=200 "Baby free range [[chicken]] in the hand of a person in [[Ishwarganj Upazila]], [[Mymensingh]], [[Bangladesh]]")
![Small-scale free range farming in the [[Northern Black Forest]]](https://commons.wikimedia.org/wiki/Special:FilePath/Busenbach Freilandhaltung-Hühner.jpg?width=200 "Small-scale free range farming in the [[Northern Black Forest]]")
![Free range ducks in [[Hainan]] Province, China](https://commons.wikimedia.org/wiki/Special:FilePath/Duck farm in Hainan 02.jpg?width=200 "Free range ducks in [[Hainan]] Province, China")
![geese]] in Germany](https://commons.wikimedia.org/wiki/Special:FilePath/Kirbachhof Gaense.jpg?width=200 "geese]] in Germany")
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.
