Results 11 to 20 of about 6,008 (306)

Least square algorithm based on bias compensated principle for parameter estimation of canonical state space model

Measurement + Control, 2022
Due to the existence of system noise and unknown state variables, it is difficult to realize unbiased estimation with minimum variance for the parameter estimation of canonical state space model. This paper presents a new least squares estimator based on
Longlong Liu, Zhen Long, Ahmad Taher Azar, Quanmin Zhu, Ibraheem Kasim Ibraheem, Amjad J Humaidi   +5 more
doaj   +1 more source

Comparison of Some of Estimation methods of Stress-Strength Model: R = P(Y < X < Z)

مجلة بغداد للعلوم, 2021
In this study, the stress-strength model R = P(Y < X < Z)  is discussed as an important parts of reliability system by assuming that the random variables follow Invers Rayleigh Distribution. Some traditional estimation methods are used    to estimate the
Sairan Hamza Raheem, Bayda Atiya Kalaf , Abbas Najim Salman   +2 more
doaj   +1 more source

Comparison Among Three Estimation Methods to Estimate Cascade Reliability Model (2+1) Based On Inverted Exponential Distribution

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2020
      In this paper, we are mainly concerned with estimating cascade reliability model (2+1) based on inverted exponential distribution and comparing among the estimation methods that are used .
Sairan Hamza Raheem
doaj   +1 more source

Moments of Dual Generalized Order Statistics from Inverted Kumaraswamy Distribution and Related Inference

Journal of Statistical Theory and Applications (JSTA), 2021
In this paper, the exact and explicit expressions for single, product, and conditional moments for inverted Kumaraswamy distribution using dual generalized order statistics (dgos) are derived. Further, the expression for maximum likelihood estimator (MLE)
Bushra Khatoon, M. J. S. Khan, Zubdahe Noor   +2 more
doaj   +1 more source

An unbiased estimator with prior information

Arab Journal of Basic and Applied Sciences, 2020
The ordinary least square (OLS) estimator suffers a breakdown in the presence of multicollinearity. The estimator is still unbiased but possesses a significant variance.
Adewale F. Lukman, Kayode Ayinde, Benedicta Aladeitan, Rasak Bamidele   +3 more
doaj   +1 more source

Estimation of the reciprocal of the mean of the Inverse Gaussian distribution with prior information

Statistica, 2013
This paper considers the problem of estimating the reciprocal of the mean of the Inverse Gaussian distribution when a prior estimate or guessed value λ0 of the shape parameter λ is available.
Housila P. Singh, Sheetal Pandit
doaj   +1 more source

Sample Design and Estimation of Parameters of Half Logistic Distribution Using Generalized Ranked-Set Sampling

Journal of Statistical Theory and Applications (JSTA), 2020
The ranked-set sampling technique has been generalized so that a more efficient estimator may be obtained. This technique allows more than one unit from each set to be quantified.
A. Adatia, A.K.MD. Ehsanes Saleh
doaj   +1 more source

ON COMPLETE SUFFICIENT AND UNIFORMLY MINIMUM VARIANCE UNBIASED ESTIMATORS

, 1978
Erik Torgersen
openalex   +2 more sources

Efficient Estimator of Parameters of a Multivariate Geometric Distribution

Journal of Statistical Theory and Applications (JSTA), 2018
The maximum likelihood estimator (MLE) and uniformly minimum variance unbiased estimator (UMVUE) for the parameters of a multivariate geometric distribution (MGD) have been derived.
U. J. Dixit, S. Annapurna
doaj   +1 more source

Linear Spaces and Minimum Variance Unbiased Estimation

The Annals of Mathematical Statistics, 1971
Consideration is given to minimum variance unbiased estimation when the choice of estimators is restricted to a finite-dimensional linear space. The discussion gives generalizations and minor extensions of known results in linear model theory utilizing both the coordinate-free approach of Kruskal and the usual parametric representations.
Seely, Justus, Zyskind, George
openaire   +3 more sources