|
|
| (10 intermediate revisions by 3 users not shown) |
| Line 1: |
Line 1: |
| {{Template:NoSkin}}
| | #REDIRECT [[Template:WebNotes/Weibull%2B%2BSimuMatic_Data]] |
| {| class="FCK__ShowTableBorders" border="0" cellspacing="0" cellpadding="0" align="center"; style="width:100%;"
| |
| |-
| |
| | valign="middle" align="left" bgcolor=EEEEEE|[[Image:Webnotesbar.png|center|195px]]
| |
| |}
| |
| | |
| {| class="FCK__ShowTableBorders" border="0" cellspacing="1" cellpadding="1"
| |
| |-
| |
| | valign="middle" |{{Font| Simumatic Data 1P Weibull |11|tahoma|bold|gray}}
| |
| |-
| |
| | valign="middle" | {{Font|Weibull++|10|tahoma|bold|gray}}
| |
| |-
| |
| | valign="middle" |
| |
| Reliability analysis using simulation, in which reliability analyses are performed a large number of times on data sets that have been created using Monte Carlo simulation, can be a valuable tool for reliability practitioners. Such simulation analyses can assist the analyst to
| |
| | |
| a) better understand life data analysis concepts,
| |
| | |
| b) experiment with the influences of sample sizes and censoring schemes on analysis methods,
| |
| | |
| c) construct simulation-based confidence intervals,
| |
| | |
| d) better understand the concepts behind confidence intervals and
| |
| | |
| e) design reliability tests. This section explores some of the results that can be obtained from simulation analyses with SimuMatic utility in Weibull++.
| |
| | |
| |-
| |
| | valign="middle" | [http://reliawiki.com/index.php/Template:Simumatic_Example See an example...]
| |
| |}
| |
| | |
| <br/>
| |
| | |
| | |
| | |
| | |
| [[File:docedit.png|20px|right|link=http://www.reliawiki.com/index.php?title=Weibull%2B%2B_Simumatic_Data_1P-Weibull&action=edit]]
| |