Poisson-modification of the Quasi Lindley optimal generalized regression estimator
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DOI: 10.1080/02331888.2024.2333015
Abstract: In this paper, we propose an optimal generalized regression estimator based on the sample information for the Poisson-Modification of the Quasi Lindley (PMQL) regression model namely the PMQL optimal generalized regression estimator. Asymptotic properties of… read more here.
Keywords: optimal generalized; regression estimator; regression; poisson modification ... See more keywords
The small sample properties of the restricted principal component regression estimator in linear regression model
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DOI: 10.1080/03610926.2015.1024867
Abstract: ABSTRACT In regression analysis, to deal with the problem of multicollinearity, the restricted principal components regression estimator is proposed. In this paper, we compared the restricted principal components regression estimator, the principal components regression estimator,… read more here.
Keywords: restricted principal; regression; regression estimator; components regression ... See more keywords
On the efficiency of ratio estimator over the regression estimator
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DOI: 10.1080/03610926.2015.1100741
Abstract: ABSTRACT It is well known that the ratio and product estimators have the limitation of having efficiency not exceeding that of the linear regression estimator. This paper develops a new approach to ratio estimation that… read more here.
Keywords: regression estimator; efficiency; estimator; ratio estimator ... See more keywords
Asymptotic normality of local linear functional regression estimator based upon censored data
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DOI: 10.1080/03610926.2024.2378376
Abstract: Abstract. This article is concerned with the local linear non parametric regression estimator of a right censored scalar response random variable, given a functional random covariate. First, we investigate its asymptotic normality under the concentration… read more here.
Keywords: local linear; regression estimator; asymptotic normality; regression ... See more keywords
On a Mixed Poisson Liu Regression Estimator for Overdispersed and Multicollinear Count Data
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DOI: 10.1155/2022/8171461
Abstract: 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… read more here.
Keywords: regression; count data; regression estimator; estimator ... See more keywords
Generalized Ridge Regression Estimator in High Dimensional Sparse Regression Models
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DOI: 10.19139/soic.v6i3.581
Abstract: Modern statistical analysis often encounters linear models with the number of explanatory variables much larger than the sample size. Estimation in these high-dimensional problems needs some regularization methods to be employed due to rank deficiency… read more here.
Keywords: high dimensional; regression; ridge regression; estimator ... See more keywords