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estimation$26026$ - перевод на немецкий
CONSTRUCTION OF AN ESTIMATE, BASED ON OBSERVED DATA, OF AN UNOBSERVABLE UNDERLYING PROBABILITY DENSITY FUNCTION
Density Estimation; Probability estimation; Probability density estimation
![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>")
estimation
n. Bewertung, Schätzung, Einschätzung
maximum likelihood estimate
METHOD OF ESTIMATING THE PARAMETERS OF A STATISTICAL MODEL, GIVEN OBSERVATIONS
Maximum Likelihood; Maximum likelihood principle; Method of maximum likelihood; Maximum likelihood estimator; Maximum Likelihood Estimation; Maximum-likelihood method; Maximum likelihood estimate; Maximum Likelihood Estimate; Maximum Likelihood Estimator; Maximum-likelihood; Maximum likelihood method; Unconditional maximum likelihood estimation; Conditional maximum likelihood estimation; Semiparametric maximum likelihood estimation; ML Estimate; Maximum likelihood estimation with flow data; Maximum Likelihood Method; Maximum Likelihood Estimation with Flow Data; Maximum likelihood estimators; Maximum likelihood; Maximum-likelihood estimation; Full information maximum likelihood
höchste wahrscheinliche Schätzung (statistische Schätzung nach der Wahrscheinlichkeits-Methode)
statistical significance
![''α'' {{=}} 0.05}} is partitioned to both ends of the [[sampling distribution]] and makes up 5% of the area under the curve (white areas).](https://commons.wikimedia.org/wiki/Special:FilePath/NormalDist1.96.png?width=200 "''α'' {{=}} 0.05}} is partitioned to both ends of the [[sampling distribution]] and makes up 5% of the area under the curve (white areas).")
STATISTICAL ASSESSMENT OF WHETHER OBSERVATIONS REFLECT A PATTERN RATHER THAN JUST CHANCE
Significance level; Statistically significant; Significant reduction; Statistical significant; Significance (statistics); Significant difference; Statistically insignificant; Statistical significance (estimation statistics); Statistical significance (hypothesis testing); Statistical insignificance; Statistical-significance
von statistischer Bedeutung (eindeutiges Resultat das kein statistischer Zufallstreffer sein kann)
Определение
estimate
(estimated)
Frequency: The word is one of the 1500 most common words in English.
1.
If you estimate a quantity or value, you make an approximate judgment or calculation of it.
Try to estimate how many steps it will take to get to a close object...
I estimate that the total cost for treatment will be $12,500...
He estimated the speed of the winds from the degree of damage...
Some analysts estimate its current popularity at around ten per cent...
VERB: V wh, V that, V n, V n at amount
• estimated
There are an estimated 90,000 gangsters in the country.
ADJ: a ADJ amount
2.
An estimate is an approximate calculation of a quantity or value.
...the official estimate of the election result...
This figure is five times the original estimate...
N-COUNT: usu with supp, oft N of/for n
3.
An estimate is a judgment about a person or situation which you make based on the available evidence.
I hadn't been far wrong in my estimate of his grandson's capabilities.
N-COUNT: oft with poss, N of n
4.
An estimate from someone who you employ to do a job for you, such as a builder or a plumber, is a written statement of how much the job is likely to cost.
N-COUNT
Википедия
Density estimation
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.
