Results 11 to 20 of about 34,540 (263)
Mixed Spline Smoothing and Kernel Estimator in Biresponse Nonparametric Regression
International Journal of Mathematics and Mathematical Sciences, 2021 Mixed estimators in nonparametric regression have been developed in models with one response. The biresponse cases with different patterns among predictor variables that tend to be mixed estimators are often encountered.
Dyah P. Rahmawati +3 more
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On a Mixed Poisson Liu Regression Estimator for Overdispersed and Multicollinear Count Data
The Scientific World Journal, 2022 The mixed Poisson regression models are commonly employed to analyze the overdispersed count data. However, multicollinearity is a common issue when estimating the regression coefficients by using the maximum likelihood estimator (MLE) in such regression
Ramajeyam Tharshan +1 more
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Estimating mixed quantum states [PDF]
Physics Letters A, 2000 We discuss single adaptive measurements for the estimation of mixed quantum states of qubits. The results are compared to the optimal estimation schemes using collective measurements. We also demonstrate that the advantage of collective measurements increases when the degree of mixing of the quantum states increases.
Fischer, Dietmar G. +1 more
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Outlier robust nonlinear mixed model estimation [PDF]
Statistics in Medicine, 2015 In standard analyses of data well‐modeled by a nonlinear mixed model, an aberrant observation, either within a cluster, or an entire cluster itself, can greatly distort parameter estimates and subsequent standard errors. Consequently, inferences about the parameters are misleading.
Williams, J. D. +2 more
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Combination Estimation of Smoothing Spline and Fourier Series in Nonparametric Regression
Journal of Mathematics, 2020 So far, most of the researchers developed one type of estimator in nonparametric regression. But in reality, in daily life, data with mixed patterns were often encountered, especially data patterns which partly changed at certain subintervals, and some ...
Ni Putu Ayu Mirah Mariati +2 more
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Henderson's method approach to Kernel prediction in partially linear mixed models
Cumhuriyet Science Journal, 2020 In this article, we propose Kernel prediction in partially linear mixed models by using Henderson's method approach. We derive the Kernel estimator and the Kernel predictor via the mixed model equations (MMEs) of Henderson's that they give the best ...
Seçil Yalaz, Özge Kuran
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A New Mixed Estimator in Nonparametric Regression for Longitudinal Data
Journal of Mathematics, 2021 We introduce a new method for estimating the nonparametric regression curve for longitudinal data. This method combines two estimators: truncated spline and Fourier series.
Made Ayu Dwi Octavanny +3 more
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DENSITY ESTIMATION FOR UNIFORM MIXING PROCESS [PDF]
Bulletin of informatics and cybernetics, 1986 This paper investigates asymptotic properties of the usual kernel density estimate \((f_ n(x))_{n\in {\mathbb{N}}^*}\) based on a strictly stationary \(\phi\)-mixing sequence \((X_ n)_{n\in {\mathbb{N}}^*}\). The behaviour of \(Cov(f_ n(x),f_ n(y))\) is determined; weak and strong consistency are studied.
Abdulal, Khaled I., Siddiqui, M. M.
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Nonparametric Regression Model for Longitudinal Data with Mixed Truncated Spline and Fourier Series
Abstract and Applied Analysis, 2020 Existing literature in nonparametric regression has established a model that only applies one estimator to all predictors. This study is aimed at developing a mixed truncated spline and Fourier series model in nonparametric regression for longitudinal ...
Made Ayu Dwi Octavanny +3 more
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On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression
Journal of Applied Mathematics, 2013 We introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed estimator (WME) (Trenkler and Toutenburg 1990) and the almost unbiased ridge estimator (AURE) (Akdeniz and Erol 2003) in linear regression model.
Chaolin Liu, Hu Yang, Jibo Wu
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