✦ LIBER ✦

Estimation of reliability using failure-degradation data with explanatory variables

✍ Scribed by V. Bagdonavičius; A. Bikelis; V. Kazakevičius; M. Nikulin

Book ID: 106435711
Publisher: Springer US
Year: 2009
Tongue: English
Weight: 278 KB
Volume: 163
Category: Article
ISSN: 1573-8795
DOI: 10.1007/s10958-009-9668-8

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Estimation of reliability for exponentia

Estimation of reliability for exponential stress-strength models with explanatory variables

✍ M.S. Aminzadeh 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 211 KB

Estimating reliability of components wit

Estimating reliability of components with increasing failure rate using series system data

✍ Paul H. Kvam; Harshinder Singh 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 84 KB 👁 2 views

The maximum likelihood estimator (MLE) for a distribution function with increasing failure rate is derived, based on a collection of series system data. Applications can arise in industries where operating environments make available only such system-level data, due to system configuration or type-I

242 Intelligent analysis of failure data

242 Intelligent analysis of failure data with explanatory variables in the design of a manufacturing environment: T. Velasco, pp 370–373

📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 63 KB

Passive system reliability analysis usin

Passive system reliability analysis using Response Conditioning Method with an application to failure frequency estimation of Decay Heat Removal of PFBR

✍ T. Sajith Mathews; A. John Arul; U. Parthasarathy; C. Senthil Kumar; K.V. Subbai 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 695 KB

Estimating elasticities of residential e

Estimating elasticities of residential energy demand from panel county data using dynamic random variables models with heteroskedastic and correlated error terms

✍ L.Miguel Garcia-Cerrutti 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 88 KB