Μετάφραση και ανάλυση λέξεων από την τεχνητή νοημοσύνη ChatGPT
Σε αυτήν τη σελίδα μπορείτε να λάβετε μια λεπτομερή ανάλυση μιας λέξης ή μιας φράσης, η οποία δημιουργήθηκε χρησιμοποιώντας το ChatGPT, την καλύτερη τεχνολογία τεχνητής νοημοσύνης μέχρι σήμερα:
- πώς χρησιμοποιείται η λέξη
- συχνότητα χρήσης
- χρησιμοποιείται πιο συχνά στον προφορικό ή γραπτό λόγο
- επιλογές μετάφρασης λέξεων
- παραδείγματα χρήσης (πολλές φράσεις με μετάφραση)
- ετυμολογία
multivariate observation - translation to ρωσικά
математика
многомерное наблюдение
![Visitors on the observation deck of the [[Skylon Tower]], which overlooks [[Niagara Falls]].](https://commons.wikimedia.org/wiki/Special:FilePath/Niagara Falls - ON - Skylon Tower (Aussichtsdeck).jpg?width=200 "Visitors on the observation deck of the [[Skylon Tower]], which overlooks [[Niagara Falls]].")
![TK Elevator Test Tower]], which overlooks [[Germany]]'s [[Black Forest]] and the [[Alps]]](https://commons.wikimedia.org/wiki/Special:FilePath/Thyssenkrupp Testturm - Aussichtsplattform aussen.jpg?width=200 "TK Elevator Test Tower]], which overlooks [[Germany]]'s [[Black Forest]] and the [[Alps]]")
![View from the [[Shanghai Tower]] observation deck.](https://commons.wikimedia.org/wiki/Special:FilePath/View on the observatory level of Shanghai Tower.jpg?width=200 "View from the [[Shanghai Tower]] observation deck.")
![The 10 m observation deck of [[Ronda]], Spain, overlooks the [[Depression of Ronda]] plain over 100 m below.](https://commons.wikimedia.org/wiki/Special:FilePath/Viewing platform - top right.jpg?width=200 "The 10 m observation deck of [[Ronda]], Spain, overlooks the [[Depression of Ronda]] plain over 100 m below.")
![A multi-level [[tree house]] in [[Cape Town]], [[South Africa]], with an observation deck on top](https://commons.wikimedia.org/wiki/Special:FilePath/TreeHouse-Elevated01.jpg?width=200 "A multi-level [[tree house]] in [[Cape Town]], [[South Africa]], with an observation deck on top")
![An observation deck place in Rokko Garden Terrace, [[Mount Rokkō]], Kobe, Japan](https://commons.wikimedia.org/wiki/Special:FilePath/Rokko garden terrace03s3200.jpg?width=200 "An observation deck place in Rokko Garden Terrace, [[Mount Rokkō]], Kobe, Japan")
![An observation deck in [[West Berlin]] with a view of [[Potsdamer Platz]] on the other side of the [[Berlin Wall]], 1977. At the bottom of the steps a placard shows what the square looked like in 1929.](https://commons.wikimedia.org/wiki/Special:FilePath/Observation deck overlooking Potsdamer Platz with placard showing 1929 view.jpg?width=200 "An observation deck in [[West Berlin]] with a view of [[Potsdamer Platz]] on the other side of the [[Berlin Wall]], 1977. At the bottom of the steps a placard shows what the square looked like in 1929.")
![[[Brooklyn Bridge]] as viewed from the [[One World Observatory]] in New York City](https://commons.wikimedia.org/wiki/Special:FilePath/One World Observatory View.jpg?width=200 "[[Brooklyn Bridge]] as viewed from the [[One World Observatory]] in New York City")
![[[Night View]] of the [[Victoria Harbour]], Hong Kong from [[sky100]]](https://commons.wikimedia.org/wiki/Special:FilePath/Vista del Puerto de Victoria desde Sky100, Hong Kong, 2013-08-09, DD 10.JPG?width=200 "[[Night View]] of the [[Victoria Harbour]], Hong Kong from [[sky100]]")
![Left: Classification of seven multivariate normal classes. Coloured ellipses are 1 sd error ellipses. Black marks the boundaries between the classification regions. <math>p_e</math> is the probability of total classification error. Right: the error matrix. <math>p_{ij}</math> is the probability of classifying a sample from normal <math>i</math> as <math>j</math>. These are computed by the numerical method of ray-tracing <ref name="Das" /> ([https://www.mathworks.com/matlabcentral/fileexchange/84973-integrate-and-classify-normal-distributions Matlab code]).](https://commons.wikimedia.org/wiki/Special:FilePath/Classification of several multivariate normals.png?width=200 "Left: Classification of seven multivariate normal classes. Coloured ellipses are 1 sd error ellipses. Black marks the boundaries between the classification regions. <math>p_e</math> is the probability of total classification error. Right: the error matrix. <math>p_{ij}</math> is the probability of classifying a sample from normal <math>i</math> as <math>j</math>. These are computed by the numerical method of ray-tracing <ref name=\"Das\" /> ([https://www.mathworks.com/matlabcentral/fileexchange/84973-integrate-and-classify-normal-distributions Matlab code]).")
![joint density]]](https://commons.wikimedia.org/wiki/Special:FilePath/Multivariate Gaussian.png?width=200 "joint density]]")
Ορισμός
Βικιπαίδεια
Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable, i.e., multivariate random variables. Multivariate statistics concerns understanding the different aims and background of each of the different forms of multivariate analysis, and how they relate to each other. The practical application of multivariate statistics to a particular problem may involve several types of univariate and multivariate analyses in order to understand the relationships between variables and their relevance to the problem being studied.
In addition, multivariate statistics is concerned with multivariate probability distributions, in terms of both
- how these can be used to represent the distributions of observed data;
- how they can be used as part of statistical inference, particularly where several different quantities are of interest to the same analysis.
Certain types of problems involving multivariate data, for example simple linear regression and multiple regression, are not usually considered to be special cases of multivariate statistics because the analysis is dealt with by considering the (univariate) conditional distribution of a single outcome variable given the other variables.
