Βασική Θεωρία Πιθανοτήτων
Statistical mechanics is based on the probability theory in order for the frequency of appearance of microscopic states to be calculated. The definition of probability is presented for discrete random variables, as well as for continuous variables expressed as probability density. In addition, the m...
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kallipos-11419-50572021-07-11T18:01:36Z Βασική Θεωρία Πιθανοτήτων Basic Probability Theory Koutselos, Andreas Κούτσελος, Ανδρέας ΣΤΑΤΙΣΤΙΚΗ ΜΗΧΑΝΙΚΗ ΔΙΑΚΥΜΑΝΣΕΙΣ ΘΕΩΡΙΑ ΠΙΘΑΝΟΤΗΤΩΝ Statistical Mechanics Fluctuations Probability Theory Statistical mechanics is based on the probability theory in order for the frequency of appearance of microscopic states to be calculated. The definition of probability is presented for discrete random variables, as well as for continuous variables expressed as probability density. In addition, the moments of a distribution are introduced together with the variance and the correlation of different random variables. The probability of complex events through the laws or probability theory is reduced to that of simple events. Η έννοια της πιθανότητας και οι ιδιότητές της είναι βασικές για την στατιστική μηχανική. Παρουσιάζεται ο ορισμός της πιθανότητας και των ροπών της για απλά γεγονότα, καθώς και η παραγωγή πιθανοτήτων σύνθετων γεγονότων. Εισάγεται η έννοια της "διακύμανσης" και "συσχέτισης" τυχαίων μεταβλητών 2016-03-09T11:38:33Z 2021-07-08T14:02:18Z 2016-03-09T11:38:33Z 2021-07-08T14:02:18Z 2016-03-09 7 http://localhost:8080/jspui/handle/11419/5057 el 1 13 application/pdf |
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Kallipos |
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Greek |
topic |
ΣΤΑΤΙΣΤΙΚΗ ΜΗΧΑΝΙΚΗ ΔΙΑΚΥΜΑΝΣΕΙΣ ΘΕΩΡΙΑ ΠΙΘΑΝΟΤΗΤΩΝ Statistical Mechanics Fluctuations Probability Theory |
spellingShingle |
ΣΤΑΤΙΣΤΙΚΗ ΜΗΧΑΝΙΚΗ ΔΙΑΚΥΜΑΝΣΕΙΣ ΘΕΩΡΙΑ ΠΙΘΑΝΟΤΗΤΩΝ Statistical Mechanics Fluctuations Probability Theory Koutselos, Andreas Κούτσελος, Ανδρέας Βασική Θεωρία Πιθανοτήτων |
description |
Statistical mechanics is based on the probability theory in order for the frequency of appearance of microscopic states to be calculated. The definition of probability is presented for discrete random variables, as well as for continuous variables expressed as probability density. In addition, the moments of a distribution are introduced together with the variance and the correlation of different random variables. The probability of complex events through the laws or probability theory is reduced to that of simple events. |
format |
7 |
author |
Koutselos, Andreas Κούτσελος, Ανδρέας |
author_facet |
Koutselos, Andreas Κούτσελος, Ανδρέας |
author_sort |
Koutselos, Andreas |
title |
Βασική Θεωρία Πιθανοτήτων |
title_short |
Βασική Θεωρία Πιθανοτήτων |
title_full |
Βασική Θεωρία Πιθανοτήτων |
title_fullStr |
Βασική Θεωρία Πιθανοτήτων |
title_full_unstemmed |
Βασική Θεωρία Πιθανοτήτων |
title_sort |
βασική θεωρία πιθανοτήτων |
publishDate |
2016 |
url |
http://localhost:8080/jspui/handle/11419/5057 |
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