Results 11 to 20 of about 2,712,723 (299)
Estimation of parameters of a harmonic chirp model
IET Signal Processing, 2021 Here, we address the problem of estimation of the parameters of a harmonic chirp model, often encountered in speech and music applications. This model was introduced recently by Christensen and Jensen [1] as an extension of a standard harmonic model.
Rhythm Grover, Debasis Kundu, Amit Mitra
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Sensitivity analysis in linear models
Special Matrices, 2016 In this work, we consider the general linear model or its variants with the ordinary least squares, generalised least squares or restricted least squares estimators of the regression coefficients and variance.
Liu Shuangzhe, Ma Tiefeng, Liu Yonghui
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Nonlinear Least Squares Estimation
The Annals of Mathematical Statistics, 1965 We are given a set of $N$ responses $Y_t$ which have arisen from a nonlinear regression model \begin{equation*}\tag{(1.1)}Y_t = f(x_t, \theta) + e_t; \quad t = 1, 2, \cdots, N.\end{equation*} Here $x_t$ denotes the $t$th fixed input vector of $k$ elements giving rise to $Y_t$, whilst $\theta$ is an $m$-element unknown parameter vector with elements ...
Hartley, H. O., Booker, Aaron
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A New Convex Estimator Combining Ridge and Ordinary Least Squares Estimators [PDF]
مجلة جامعة الانبار للعلوم الصرفةIn the presence of high correlation between the independent variables in the linear regression model, which is known as the multicollinearity problem, the ordinary least squares estimator produce large variations in the sample.
Karam Al-janabi, Mustafa Alheety
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Journal of Advanced Research in Natural and Applied Sciences, 2020 The determination of leverage observations have been frequently investigated through ordinary least squares and some biased estimators proposed under the multicollinearity problem in the linear regression models.
Tuğba Söküt
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Least squares image matching: A comparison of the performance of robust estimators [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Least squares image matching (LSM) has been extensively applied and researched for high matching accuracy. However, it still suffers from some problems. Firstly, it needs the appropriate estimate of initial value.
Z. Li, J. Wang
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Journal of Probability and Statistics, 2020 This study compared a ridge maximum likelihood estimator to Yuan and Chan (2008) ridge maximum likelihood, maximum likelihood, unweighted least squares, generalized least squares, and asymptotic distribution-free estimators in fitting six models that ...
David Adedia +2 more
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Mathematics, 2020 In this paper, we study a new flexible three-parameter exponential distribution called the extended odd Weibull exponential distribution, which can have constant, decreasing, increasing, bathtub, upside-down bathtub and reversed-J shaped hazard rates ...
Ahmed Z. Afify, Osama Abdo Mohamed
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Topp–Leone odd log-logistic exponential distribution: Its improved estimators and applications
Anais da Academia Brasileira de Ciências, 2021 In this paper, a new three-parameter lifetime model called the Topp–Leone odd log-logistic exponential distribution is proposed. Its density function can be expressed as a linear mixture of exponentiated exponential densities and can be reversed-J shaped,
AHMED Z. AFIFY +2 more
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INVESTIGATING THE IMPACT OF MULTICOLLINEARITY ON LINEAR REGRESSION ESTIMATES [PDF]
Malaysian Journal of Computing, 2021 The study was to investigate the impact of multicollinearity on linear regression estimates. The study was guided by the following specific objectives, (i) to examine the asymptotic properties of estimators and (ii) to compare lasso, ridge, elastic ...
Adewoye Kunle Bayo +3 more
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