نتایج جستجو برای: weibull

تعداد نتایج: 4998  

Journal: :Genetics 2008
Paul Joyce Darin R Rokyta Craig J Beisel H Allen Orr

Recent theoretical studies of the adaptation of DNA sequences assume that the distribution of fitness effects among new beneficial mutations is exponential. This has been justified by using extreme value theory and, in particular, by assuming that the distribution of fitnesses belongs to the Gumbel domain of attraction. However, extreme value theory shows that two other domains of attraction ar...

2014
H. V. Kulkarni S. K. Powar

We propose a simple close-to-normal approximation to a Weibull random variable r.v. and consider the problem of estimation of upper prediction limit UPL that includes at least l out of m future observations from a Weibull distribution at each of r locations, based on the proposed approximation and the well-known Box-Cox normal approximation. A comparative study based on Monte Carlo simulations ...

2014
S. Lakshmi

The Weibull distribution has been used in many different fields with many applications. Researchers have been developing various extensions and modified forms of the Weibull distribution, with different number of parameters. In this paper the Transmuted Additive Weibull distribution is used to find out the hazard rate function for the activation of the hypothalamic – pituitary – adrenal axis in...

Journal: :Microelectronics Reliability 2013
Izumi Hirano Yasushi Nakasaki Shigeto Fukatsu Masakazu Goto Koji Nagatomo Seiji Inumiya Katsuyuki Sekine Yuichiro Mitani Kikuo Yamabe

This paper discusses time-dependent dielectric breakdown (TDDB) in n-FETs with HfSiON gate stacks under various stress conditions. It was found that the slope of Weibull distribution of Tbd, Weibull β, changes with stress conditions, namely, DC stress, unipolar AC stress and bipolar AC stresses. On the other hand, the time evolution component of stress-induced leakage current (SILC) was not cha...

2006
Tobias Pfingsten Karsten Glien Robert Bosch

A common approach for the determination of Slow Crack Growth (SCG) parameters are the static and dynamic loading method. Since materials with small Weibull module show a large variability in strength, a correct statistical analysis of the data is indispensable. In this work we propose the use of the Maximum Likelihood method and a Baysian analysis, which, in contrast to the standard procedures,...

Journal: :J. Multivariate Analysis 2014
Debasis Kundu Arjun K. Gupta

Marshall and Olkin (1997) provided a general method to introduce a parameter into a family of distributions, and discussed in details about the exponential and Weibull families. They have also briefly introduced the bivariate extension, although not any properties or inferential issues have been explored, mainly due to analytical intractability of the general model. In this paper we consider th...

2007
Ahmed Z. Al-Garni Ahmad Jamal Farooq Saeed Ayman H. Kassem

The failure rate analysis of brake assemblies of a commercial airplane, i.e., Boeing 737, is analyzed using the artificial neural network and Weibull regression models. One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are used for the analysis. Three years of data are used for model building and validation. The results ...

Journal: :Journal of Physics: Conference Series 2021

2011
J. Waewsak C. Chancham M. Landry Y. Gagnon

The main objective of this paper was to analyze the statistical wind data obtained from measurements for the 12 months period of January to December 2008 at Thasala district in Nakhon Si Thammarat province, southern Thailand. The wind speed at heights of 20 m, 30 m, and 40 m above ground level were measured using 3-cup anemometers attached to booms on a 45 m lattice met tower. The recording int...

2013
D. I. De Souza

Sometimes the amount of time available for testing could be considerably less than the expected lifetime of the component. To overcome such a problem, there is the accelerated life-testing alternative aimed at forcing components to fail by testing them at much higher-than-intended application conditions. These models are known as acceleration models. One possible way to translate test results o...

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