Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Pushpakanthie Wijekoon"'
Publikováno v:
Ruhuna Journal of Science, Vol 13, Iss 1, Pp 14-28 (2022)
The Least Absolute Shrinkage and Selection Operator (LASSO) is used to tackle both the multicollinearity issue and the variable selection concurrently in the linear regression model. The Least Angle Regression (LARS) algorithm has been used widely to
Externí odkaz:
https://doaj.org/article/1fe2d238d6b14d9bb43c4a7ccd64f1ab
Publikováno v:
The Scientific World Journal, Vol 2022 (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 regres
Externí odkaz:
https://doaj.org/article/cc5d893537af4189a3d599b72866be1f
Publikováno v:
Journal of Probability and Statistics, Vol 2020 (2020)
Among several variable selection methods, LASSO is the most desirable estimation procedure for handling regularization and variable selection simultaneously in the high-dimensional linear regression models when multicollinearity exists among the pred
Externí odkaz:
https://doaj.org/article/7cc49d7efc7548c2accb9de9b0b75b8c
Publikováno v:
Ceylon Journal of Science, Vol 47, Iss 1, Pp 21-34 (2018)
To conquer the multicollinearity problem in logistic regression, many alternative estimators have been proposed in the literature when some linear restrictions on the parameter space are available in addition to the sample model. In this paper, we pr
Externí odkaz:
https://doaj.org/article/a7dba305dde94cc49ce50db325bdabbf
Publikováno v:
Journal of Probability and Statistics, Vol 2018 (2018)
The analysis of misspecification was extended to the recently introduced stochastic restricted biased estimators when multicollinearity exists among the explanatory variables. The Stochastic Restricted Ridge Estimator (SRRE), Stochastic Restricted Al
Externí odkaz:
https://doaj.org/article/8e1462b6d8bc48568135d1bb8f18ca5d
Publikováno v:
Statistics in Transition New Series. 23:113-128
The Poisson-Modification of Quasi Lindley (PMQL) distribution is a newly introduced mixed Poisson distribution for over-dispersed count data. The aim of this article is to introduce the Zero-modified PMQL (ZMPMQL) distribution as an alternative to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebc8d3ba0bac95633d3f4dac7ab146b7
https://doi.org/10.2478/stattrans-2022-0045
https://doi.org/10.2478/stattrans-2022-0045
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48d92ccef846dd5474f3481932c91a06
https://doi.org/10.1080/03610918.2022.2044052
https://doi.org/10.1080/03610918.2022.2044052
Publikováno v:
Open Journal of Statistics. 11:369-392
In this paper, we introduce a modification of the Quasi Lindley distribution which has various advantageous properties for the lifetime data. Several fundamental structural properties of the distribution are explored. Its density function can be left
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd5a820114c0aeebe541d40f3a07e1e0
https://doi.org/10.4236/ojs.2021.113022
https://doi.org/10.4236/ojs.2021.113022
Publikováno v:
Open Journal of Statistics. 10:163-187
In recent years, several statistical finite mixture models have been proposed to model the lifetime data with heterogeneity. The Lindley distribution has been highlighted by many authors for these types of lifetime data analysis. This paper introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cbbdb54aae4e7388b911dbae61cba31
https://doi.org/10.4236/ojs.2020.102013
https://doi.org/10.4236/ojs.2020.102013
Publikováno v:
Open Journal of Statistics. 10:113-126
Least Absolute Shrinkage and Selection Operator (LASSO) is used for variable selection as well as for handling the multicollinearity problem simultaneously in the linear regression model. LASSO produces estimates having high variance if the number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3598b1b76ea1340cc8db22be1f2b818f
https://doi.org/10.4236/ojs.2020.101009
https://doi.org/10.4236/ojs.2020.101009