ANALYSIS THE SIGNIFICANCE OF RELIABLE EXPERIMENTALLY DETERMINED DISTRIBUTION LAWS
Experimental data collected drift (random size) of the law affecting real experimental data set, so it is not the only manifestation of the set of theoretical parameters. The same law theoretically true distribution may materialize through an infinity of sets of experimental data due random factors...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Academica Brancusi
2010-10-01
|
| Series: | Fiabilitate şi Durabilitate |
| Online Access: | http://www.utgjiu.ro/rev_mec/mecanica/pdf/2010-02/1_Stan%20Marius.pdf |
| _version_ | 1811230632391475200 |
|---|---|
| author | Marius STAN |
| author_facet | Marius STAN |
| author_sort | Marius STAN |
| collection | DOAJ |
| description | Experimental data collected drift (random size) of the law affecting real experimental data set, so it is not the only manifestation of the set of theoretical parameters. The same law theoretically true distribution may materialize through an infinity of sets of experimental data due random factors influence. The paper presents practical ways of determining confidence intervals using Monte Carlo method. The central issue of how the analysis is to determine the parameters found empirical distribution so as accurately to model the system state |
| first_indexed | 2024-04-12T10:31:49Z |
| format | Article |
| id | doaj.art-b8c528ebf2364480b786637ec299e50b |
| institution | Directory Open Access Journal |
| issn | 1844-640X |
| language | English |
| last_indexed | 2024-04-12T10:31:49Z |
| publishDate | 2010-10-01 |
| publisher | Academica Brancusi |
| record_format | Article |
| series | Fiabilitate şi Durabilitate |
| spelling | doaj.art-b8c528ebf2364480b786637ec299e50b2022-12-22T03:36:50ZengAcademica BrancusiFiabilitate şi Durabilitate1844-640X2010-10-012614ANALYSIS THE SIGNIFICANCE OF RELIABLE EXPERIMENTALLY DETERMINED DISTRIBUTION LAWSMarius STANExperimental data collected drift (random size) of the law affecting real experimental data set, so it is not the only manifestation of the set of theoretical parameters. The same law theoretically true distribution may materialize through an infinity of sets of experimental data due random factors influence. The paper presents practical ways of determining confidence intervals using Monte Carlo method. The central issue of how the analysis is to determine the parameters found empirical distribution so as accurately to model the system statehttp://www.utgjiu.ro/rev_mec/mecanica/pdf/2010-02/1_Stan%20Marius.pdf |
| spellingShingle | Marius STAN ANALYSIS THE SIGNIFICANCE OF RELIABLE EXPERIMENTALLY DETERMINED DISTRIBUTION LAWS Fiabilitate şi Durabilitate |
| title | ANALYSIS THE SIGNIFICANCE OF RELIABLE EXPERIMENTALLY DETERMINED DISTRIBUTION LAWS |
| title_full | ANALYSIS THE SIGNIFICANCE OF RELIABLE EXPERIMENTALLY DETERMINED DISTRIBUTION LAWS |
| title_fullStr | ANALYSIS THE SIGNIFICANCE OF RELIABLE EXPERIMENTALLY DETERMINED DISTRIBUTION LAWS |
| title_full_unstemmed | ANALYSIS THE SIGNIFICANCE OF RELIABLE EXPERIMENTALLY DETERMINED DISTRIBUTION LAWS |
| title_short | ANALYSIS THE SIGNIFICANCE OF RELIABLE EXPERIMENTALLY DETERMINED DISTRIBUTION LAWS |
| title_sort | analysis the significance of reliable experimentally determined distribution laws |
| url | http://www.utgjiu.ro/rev_mec/mecanica/pdf/2010-02/1_Stan%20Marius.pdf |
| work_keys_str_mv | AT mariusstan analysisthesignificanceofreliableexperimentallydetermineddistributionlaws |