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| LEADER |
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| 001 |
in00001399178 |
| 005 |
20190325093335.0 |
| 008 |
971117s1997 xx a b 000 0 eng d |
| 035 |
|
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|a (OCoLC)37952497
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| 035 |
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|9 AHM1668AM
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| 037 |
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|a 97-29214
|b UMI
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| 040 |
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|a TXA
|c TXA
|d UtOrBLW
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| 049 |
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|a TXAM
|a TXAR
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| 099 |
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|a 1997
|a Dissertation
|a K364
|
| 100 |
1 |
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|a Kang, Hunku,
|d 1959-
|
| 245 |
1 |
0 |
|a Monitoring for changes in parameters of Weibull processes /
|c by Hunku Kang.
|
| 264 |
|
1 |
|a [Place of publication not identified] :
|b [publisher not identified] ;
|c 1997.
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| 300 |
|
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|a xii, 106 leaves :
|b illustrations ;
|c 28 cm.
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
|
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|a unmediated
|b n
|2 rdamedia
|
| 338 |
|
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|a volume
|b nc
|2 rdacarrier
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| 504 |
|
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|a Includes bibliographical references: pages 94-96.
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| 500 |
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|a Vita.
|
| 502 |
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|b Ph. D.
|c Texas A&M University
|d 1997.
|
| 500 |
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|a "Major Subject: Industrial Engineering".
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| 530 |
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|a Issued also on microfiche from University Microfilms Inc.
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| 520 |
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|a We developed several new statistical process control charts
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| 520 |
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|a for monitoring for changes in the scale and shape parameter
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| 520 |
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|a of Weibull processess. Shewhaxt-type control charts on the
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| 520 |
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|a MLEs of the process parameters were developed. The bootstrap
|
| 520 |
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|a percentile method was used to set up the control limits on
|
| 520 |
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|a each parameter. Using likelihood ratio tests (LRTS) for the
|
| 520 |
|
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|a change point hypotheses on the Weibull process parameters, we
|
| 520 |
|
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|a developed change point (CP) control charts for monitoring for
|
| 520 |
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|a changes in the scale and shape parameters of a given
|
| 520 |
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|a magnitude. We considered combinations of these CP charts as
|
| 520 |
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|a possible strategies for monitoring a Weibull process. We
|
| 520 |
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|a also utilize maximum likelihood estimates (MLES) of the
|
| 520 |
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|a process parameters to construct general changes in the
|
| 520 |
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|a parameters. Also, using LRTs for change point hypotheses on
|
| 520 |
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|a the Weibull process parameters, we constructed omnibus
|
| 520 |
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|a control charts. Average run lengths (ARLS) were computed for
|
| 520 |
|
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|a each control chart. The ARL performances of the control
|
| 520 |
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|a charts were compared over a variety of conditions.
|
| 520 |
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|a Combinations of control charts were considered as different
|
| 520 |
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|a strategies for monitoring Weibull processes. Recommendations
|
| 520 |
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|a based on ARL considerations were made for choosing a strategy
|
| 520 |
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|a for monitoring a Weibilll process.
|
| 650 |
|
4 |
|a Major industrial engineering.
|
| 856 |
4 |
1 |
|u http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=739891111&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD
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|a MARS
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|
| 952 |
f |
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|p noncirc
|a Texas A&M University
|b College Station
|c Cushing Memorial Library & Archives
|s cush tdrm
|d Cushing: Theses & Dissertations Microforms (Does not check out)
|t 0
|e 1997 Dissertation K364
|h Other scheme
|i unmediated -- volume
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|e 1997 Dissertation K364
|h Other scheme
|
| 998 |
f |
f |
|a 1997 Dissertation K364
|t 0
|l Cushing: Theses & Dissertations Microforms (Does not check out)
|
| 998 |
f |
f |
|a 1997 Dissertation K364
|t 0
|l Available Online
|