Kumaraswamy's distribution: A beta-type distribution with some tractability advantages
MC Jones - Statistical methodology, 2009 - Elsevier
A two-parameter family of distributions on (0, 1) is explored which has many similarities to
the beta distribution and a number of advantages in terms of tractability (it also, of course …
the beta distribution and a number of advantages in terms of tractability (it also, of course …
[图书][B] Quantile-based reliability analysis
NU Nair, PG Sankaran, N Balakrishnan - 2013 - Springer
Reliability theory has taken rapid strides in the last four decades to become an independent
discipline that influences our daily lives and schedules through our dependence on good …
discipline that influences our daily lives and schedules through our dependence on good …
Comparison of estimation methods for the Weibull distribution
M Teimouri, SM Hoseini, S Nadarajah - Statistics, 2013 - Taylor & Francis
Weibull distributions have received wide ranging applications in many areas including
reliability, hydrology and communication systems. Many estimation methods have been …
reliability, hydrology and communication systems. Many estimation methods have been …
Solving probabilistic optimal power flow problem using quasi Monte Carlo method and ninth-order polynomial normal transformation
B Zou, Q Xiao - IEEE Transactions on Power Systems, 2013 - ieeexplore.ieee.org
This paper aims at establishing the cumulative distribution function (CDF) of the output
variable of the probabilistic optimal power flow. In the context of the probability weighted …
variable of the probabilistic optimal power flow. In the context of the probability weighted …
Bayesian computation via empirical likelihood
KL Mengersen, P Pudlo… - Proceedings of the …, 2013 - National Acad Sciences
Approximate Bayesian computation has become an essential tool for the analysis of
complex stochastic models when the likelihood function is numerically unavailable …
complex stochastic models when the likelihood function is numerically unavailable …
On the use of L-functionals in regression models
O Hössjer, M Karlsson - Open Mathematics, 2023 - degruyter.com
In this article, we survey and unify a large class or L-functionals of the conditional distribution
of the response variable in regression models. This includes robust measures of location …
of the response variable in regression models. This includes robust measures of location …
A comparative study for parameter estimation of the Weibull distribution in a small sample size: An application to spring fatigue failure data
X Yang, L Xie, Y Yang, B Zhao, Y Li - Quality Engineering, 2023 - Taylor & Francis
The Weibull distribution is the most widely applied model in reliability analysis. The main
objective of this paper is to present a simple method called the minimum discrepancy …
objective of this paper is to present a simple method called the minimum discrepancy …
Flexible distribution modeling with the generalized lambda distribution
Y Chalabi, DJ Scott, D Wuertz - 2012 - mpra.ub.uni-muenchen.de
We consider the use of the generalized lambda distribution (GLD) family as a flexible
distribution with which to model financial data sets. The GLD can assume distributions with a …
distribution with which to model financial data sets. The GLD can assume distributions with a …
[PDF][PDF] Method of L-moment estimation for the generalized lambda distribution
PJ van Staden, MT Loots - Proceedings of the Third Annual …, 2009 - documents.uow.edu.au
The generalized lambda distribution (GLD) is a flexible distribution for statistical modelling,
but existing estimation methodologies for the GLD are computationally difficult, rendering the …
but existing estimation methodologies for the GLD are computationally difficult, rendering the …
Benchmark test distributions for expanded uncertainty evaluation algorithms
Expanded uncertainty estimation is normally required for mission-critical applications, eg,
those involving health and safety. It helps to get a distribution range of the required …
those involving health and safety. It helps to get a distribution range of the required …