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A review on concomitants of order statistics and its application in parameter estimation under ranked set sampling
The concomitants of order statistics (COS) is a variable associated with a bivariate sample
when ordered with respect to the other variable. The distribution theory of COS is widely …
when ordered with respect to the other variable. The distribution theory of COS is widely …
Statistical inference for the Kavya–Manoharan Kumaraswamy model under ranked set sampling with applications
In this article, we introduce a new extension of the Kumaraswamy (Ku) model, which is
called the Kavya Manoharan Kumaraswamy (KMKu) model. The shape forms of the pdf for …
called the Kavya Manoharan Kumaraswamy (KMKu) model. The shape forms of the pdf for …
[HTML][HTML] Bayesian estimation using MCMC method of system reliability for inverted Topp–Leone distribution based on ranked set sampling
The current work focuses on ranked set sampling and a simple random sample as sampling
approaches for determining stress–strength reliability from the inverted Topp–Leone …
approaches for determining stress–strength reliability from the inverted Topp–Leone …
Improved linear profiling methods under classical and Bayesian setups: An application to chemical gas sensors
A profile is a functional relationship, between two or more variables, used to monitor the
process performance and its quality. The relationship may be linear or nonlinear depending …
process performance and its quality. The relationship may be linear or nonlinear depending …
Estimation based on ranked set sampling for the two-parameter Birnbaum–Saunders distribution
Ranked set sampling (RSS) has been proved to be an efficient sampling design for
parametric and non-parametric inference. In this paper, we consider RSS-based estimation …
parametric and non-parametric inference. In this paper, we consider RSS-based estimation …
Dual-rank ranked set sampling
CA Taconeli - Journal of Statistical Computation and Simulation, 2024 - Taylor & Francis
In this paper, we propose a new sampling design extending the well-known ranked set
sampling, which we named dual-rank ranked set sampling. Unlike the original ranked set …
sampling, which we named dual-rank ranked set sampling. Unlike the original ranked set …
Discrete Weibull distribution: Different estimation methods under ranked set sampling and simple random sampling
C Augusto Taconeli… - Journal of Statistical …, 2022 - Taylor & Francis
The discrete Weibull (DW) is a discretized version of the well-known Weibull distribution,
and, as such can be considered in reliability and survival analyses where the variable of …
and, as such can be considered in reliability and survival analyses where the variable of …
[HTML][HTML] On the generalized Bilal distribution: some properties and estimation under ranked set sampling
The generalized Bilal (GB) distribution can be defined as the distribution of the median of
three independent random variables drawn from the Weibull distribution. Its failure rate …
three independent random variables drawn from the Weibull distribution. Its failure rate …
On the performance of estimation methods under ranked set sampling
Maximum likelihood estimation (MLE) applied to ranked set sampling (RSS) designs is
usually based on the assumption of perfect ranking. However, it may suffers of lack of …
usually based on the assumption of perfect ranking. However, it may suffers of lack of …
A Novel Feature Selection Approach-Based Sampling Theory on Grapevine Images Using Convolutional Neural Networks
Feature selection, reducing number of input variables to develop classification model, is an
important process to reduce computational and modeling complexity and affects the …
important process to reduce computational and modeling complexity and affects the …