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Uniform Minimum Variance Unbiased Estimator of Fractal Dimension
Recoletos Multidisciplinary Research Journal, 2021 The paper introduced the concept of a fractal distribution using a power-law distribution. It proceeds to determining the relationship between fractal and exponential distribution using a logarithmic transformation of a fractal random variable which ...
Zeny L. Maureal +2 more
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An Uniformly Minimum Variance Unbiased Point Estimator Using Fuzzy Observations
Austrian Journal of Statistics, 2016 This paper proposes a new method for uniformly minimum variance unbiased fuzzy point estimation. For this purpose we make use of a uniformly minimum variance unbiased estimator and we develop this new method for a fuzzy random sample ~X1,...,~Xn is ...
Mohammad Ghasem Akbari +1 more
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The construction of the uniformly minimum variance unbiased estimator [PDF]
Tsukuba Journal of Mathematics, 2010 For a one-parameter exponential family of distributions, a method to find the uniformly minimum variance unbiased (UMVU) estimator based on the complete sufficient statistic is given in Jani and Dave [1] by change of the expression of the unbiasedness condition.
Kim Hyo Gyeong
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The Construction of Uniformly Minimum Variance Unbiased Estimators for Exponential Distributions [PDF]
The Annals of Mathematical Statistics, 1970 Consider a sample $(x_1, x_2, \cdots, x_N)$ from a population with a distribution function $F_\theta(x), (\theta \epsilon \mathbf{\Omega})$ for which a complete sufficient statistic, $s(x)$, exists. Then any parametric function $g(\theta)$ possesses a unique minimum variance unbiased estimator U.M.V.U.E., which may be obtained by the Rao-Blackwell ...
Joseph Leo Abbey, Hann David
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An enhanced approach to minimum variance unbiased velocity estimation, incorporating horizontal and vertical handoff in HetNets [PDF]
Scientific ReportsThis paper presents an enhanced approach to Minimum Variance Unbiased (MVU) velocity estimation in Heterogeneous-Networks (HetNets) by addressing horizontal and vertical handoffs.
Ravi Tiwari +5 more
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Locally minimum variance unbiased estimator in a discontinuous density function
Metrika, 1987 Let \(X_ 1,...,X_ n\) be iid random variables with the following density function w.r.t. the Lebesgue measure \[ f(x;\theta) = \begin{cases} p \qquad &\text{for \(0\leq x\leq \theta\) and \(\theta +1\leq x\leq 2,\)} \\ q &\text{for \(\theta
M. Akahira, Kenji Takeuchi
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Introduction to Reliability for Conditional Stress-Strength Parameter [PDF]
Journal of Sciences, Islamic Republic of Iran, 2021 In this article, a new proper and favorite stress-strength parameter has been introduced. The maximum likelihood and uniformly minimum variance unbiased estimators of the purposed parameter have been derived for the Exponential distribution.
Mohammad Mehdi Saber, Kavoos Khorshidian
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On Minimum Variance Unbiased Estimator of the Parameter in S(d) Distribution
Journal of Advanced Statistics, 2016 G. Nanjundan, Reshma Suresh
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F1000Research, 2021 Background: In the linear regression model, the ordinary least square (OLS) estimator performance drops when multicollinearity is present. According to the Gauss-Markov theorem, the estimator remains unbiased when there is multicollinearity, but the ...
BENEDICTA Aladeitan +4 more
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A study of methods for estimating in the exponentiated Gumbel distribution [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 The exponentiated Gumbel model has been shown to be useful in climate modeling including global warming problem, flood frequency analysis, offshore modeling, rainfall modeling and wind speed modeling.
K. Fathi +3 more
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