Estimation of variance of complex estimator by Jurgita Čimžaitė, Danutė Krapavickaitė

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Filter Estimator Based on the Probability Distribution by Romeo Urbieta Parrazalez, Rosaura Palma Orozco, Maria Teresa Zagaceta Alvarez, Jose Luis Fernandez Munoz, Karen Alicia Aguilar Cruz

Subjects: “…Filter estimator…”
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GMM Estimator: An Application to Intraindustry Trade by Nuno Carlos Leitão

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Parameter and State Estimator for State Space Models by Ruifeng Ding, Linfan Zhuang

“…This paper proposes a parameter and state estimator for canonical state space systems from measured input-output data. …”
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THE EFFECT OF FDI ON PRIVATE INVESTMENT IN THE SOUTHEAST REGION OF VIETNAM by Nguyễn Văn Bổn

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On Improving Ratio/Product Estimator by Ratio/Product-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary Information by Angela Shirley, Ashok Sahai, Isaac Dialsingh

“…The first order large sample approximation to the bias and the mean square error of our proposed estimators are obtained. We use simulation to compare our estimators with the well-known sample mean, ratio, and product estimators, as well as the classical linear regression estimator for efficient use of auxiliary information. …”
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Handling Multicollinearity and Outliers in Logistic Regression Using the Robust Kibria–Lukman Estimator by Adewale F. Lukman, Suleiman Mohammed, Olalekan Olaluwoye, Rasha A. Farghali

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A Modified STAP Estimator for Superresolution of Multiple Signals by Zhongbao Wang, Junhao Xie, Zilong Ma, Taifan Quan

“…A modified space-time adaptive processing (STAP) estimator is described in this paper. The estimator combines the incremental multiparameter (IMP) algorithm and the existing beam-space preprocessing techniques yielding a computationally cheap algorithm for the superresolution of multiple signals. …”
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An Incremental Kernel Density Estimator for Data Stream Computation by Yulin He, Jie Jiang, Dexin Dai, Klohoun Fabrice

“…Kernel density estimator (KDE) is the mostly used technology to estimate the unknown p.d.f. for the given dataset. …”
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Inferential analysis of the stress-strength reliability for a new extended family of distributions by Mohammed S. Kotb, Mohammed Z. Raqab

Subjects: “…Bayes estimator…”
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A New Ridge-Type Estimator for the Gamma Regression Model by Adewale F. Lukman, Issam Dawoud, B. M. Golam Kibria, Zakariya Y. Algamal, Benedicta Aladeitan

“…The parameters in both models are estimated using the maximum likelihood estimator (MLE). …”
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Modified One-Parameter Liu Estimator for the Linear Regression Model by Adewale F. Lukman, B. M. Golam Kibria, Kayode Ayinde, Segun L. Jegede

“…Motivated by the ridge regression (Hoerl and Kennard, 1970) and Liu (1993) estimators, this paper proposes a modified Liu estimator to solve the multicollinearity problem for the linear regression model. …”
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Randomised Pseudolikelihood Ratio Change Point Estimator in Garch Models by George Awiakye-Marfo, Joseph Mung’atu, Patrick O. Weke

“…In this paper, a randomised pseudolikelihood ratio change point estimator for GARCH model is presented. Derivation of a randomised change point estimator for the GARCH model and its consistency are given. …”
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Inference about the Tail of a Distribution: Improvementon the Hill Estimator by Jean Nuyts

“…The Hill estimator is often used to infer the power behavior in tails of experimental distribution functions. …”
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A New Mixed Estimator in Nonparametric Regression for Longitudinal Data by Made Ayu Dwi Octavanny, I Nyoman Budiantara, Heri Kuswanto, Dyah Putri Rahmawati

“…We introduce a new method for estimating the nonparametric regression curve for longitudinal data. …”
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Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks by Nipaporn Chutiman, Monchaya Chiangpradit

“…In this paper, we study the estimators of the population total in adaptive cluster sampling by using the information of the auxiliary variable. …”
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Testing Data Cloning as the Basis of an Estimator for the Stochastic Volatility in Mean Model by E. Romero, E. Ropero-Moriones

“…The key contribution this paper makes is that it proposes an estimator for the SVM model, one that uses Bayesian algorithms to approximate the maximum likelihood estimate with great effect. …”
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Vehicle-to-Vehicle Communication Channel Estimator Based on Gate Recurrent Unit by Jun-Han Wang, He He, Kosuke Tamura, Shun Kojima, Jaesang Cha, Chang-Jun Ahn

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A Study on the Chain Ratio-Type Estimator of Finite Population Variance by Yunusa Olufadi, Cem Kadilar

“…We suggest an estimator using two auxiliary variables for the estimation of the unknown population variance. …”
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Performance of Some Stochastic Restricted Ridge Estimator in Linear Regression Model by Jibo Wu, Chaolin Liu

“…This paper considers several estimators for estimating the stochastic restricted ridge regression estimators. …”
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