Results 41 to 50 of about 946,554 (172)

Inequalities and Approximations of Weighted Distributions by Lindley Reliability Measures, and the Lindley-Cox Model with Applications

International Journal of Statistics and Probability, 2015
In this note, stochastic comparisons and results for weighted and Lindley models are presented. Approximation of weighted distributions via Lindley distribution in the class of increasing failure rate (IFR) and decreasing failure rate (DFR) weighted distributions with monotone weight functions are obtained including approximations via the length-biased
Oluyede, Broderick O., Okwuokenye, Macaulay, Peace, Karl E.   +2 more
openaire   +3 more sources

Particle filtering and parameter learning [PDF]

, 2007
This paper provides a new approach for sequentially learning parameters and states in a wide class of state space models using particle filters. Our approach generates direct i.i.d.
Michael Johannes, Nicholas Polson
core   +1 more source

Estimation of the Parameters of the Lomax Distribution using the EM Algorithm and Lindley Approximation [PDF]

Mathematical Researches, 2019
Estimation of statistical distribution parameter is one of the important subject of statistical inference. Due to the applications of Lomax distribution in business, economy, statistical science, queue theory, internet traffic modeling and so on, in this paper, the parameters of Lomax distribution under type II censored samples using maximum likelihood
Roshanak Zaman, Parviz Nasiri
openaire   +2 more sources

Bayesian Estimation Using Product of Spacing for Modified Kies Exponential Progressively Censored Data

Axioms, 2023
In life testing and reliability studies, most researchers have used the maximum likelihood estimation method to estimate unknown parameters, even though it has been proven that the maximum product of spacing method has properties as good as the maximum ...
Talal Kurdi, Mazen Nassar, Farouq Mohammad A. Alam   +2 more
doaj   +1 more source

Estimation of Inverse Weibull Distribution Under Type-I Hybrid Censoring [PDF]

, 2020
The hybrid censoring is a mixture of Type I and Type II censoring schemes. This paper presents the statistical inferences of the Inverse Weibull distribution when the data are Type-I hybrid censored. First we consider the maximum likelihood estimators of
Azizpour, Mina, Kazemi, Mohammad
core   +2 more sources

Curtis\u27s botanical magazine. [PDF]

v.94=ser.3:v.24 (1868) [no.5683 ...
Bentham-Moxon Trust., Bentham-Moxon Trust., Curtis, William, 1746-1799, Hooker, Joseph Dalton, 1817-1911, Hooker, William Jackson, Sir, 1785-1865, Prain, D. 1857-, Royal Botanic Gardens, Kew., Royal Horticultural Society (Great Britain), Stanley Smith Horticultural Trust, Stanley Smith Horticultural Trust., Stapf, O. (Otto) 1857-1933   +10 more
core   +10 more sources

Estimating the Entropy of a Weibull Distribution under Generalized Progressive Hybrid Censoring

Entropy, 2015
Recently, progressive hybrid censoring schemes have become quite popular in a life-testing problem and reliability analysis. However, the limitation of the progressive hybrid censoring scheme is that it cannot be applied when few failures occur before ...
Youngseuk Cho, Hokeun Sun, Kyeongjun Lee
doaj   +1 more source

Queueing systems with periodic service [PDF]

, 1996
iv+149hlm ...
Eenige, van, M.J.A.
core   +5 more sources

Estimation of the Inverse Weibull Distribution Parameters under Type-I Hybrid Censoring

Austrian Journal of Statistics, 2021
The hybrid censoring is a mixture of type-I and type-II censoring schemes. This paper presents the statistical inferences of the inverse Weibull distribution parameters when the data are type-I hybrid censored.
Mohammad Kazemi, Mina Azizpoor
doaj  

On suitability of modified Weibull extension distribution in modeling product lifetimes and reliability

Advances in Mechanical Engineering, 2022
The Weibull distribution (WD) is an important lifetime model. Due to its prime importance in modeling life data, many researchers have proposed different modifications of WD.
R. Alshenawy, Navid Feroze, Uroosa Tahir, Ali Al-alwan, Hanan Haj Ahmad, Rashid Ali   +5 more
doaj   +1 more source