The Experts below are selected from a list of 3582 Experts worldwide ranked by ideXlab platform
Nuanpan Lawson - One of the best experts on this subject based on the ideXlab platform.
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New ratio Estimators for population mean in simple random sampling using robust RegressionNew ratio Estimators for population mean in simple random sampling using robust Regression
The Journal of Applied Science, 2020Co-Authors: Nuanpan LawsonAbstract:Using the traditional least Square Regression Estimator we can validate the assumption of normality of the residual error when outliers occur in the data. In this paper, the alternative ratio Estimators for estimating population mean using robust Regression are proposed for use in the case where data is contaminated with outliers, under simple random sampling. The bias and mean Square error of the proposed Estimators have been investigated. A simulation study has been conducted to compare the efficiency of the proposed Estimators with traditional Estimators.
Noor Akma Ibrahim - One of the best experts on this subject based on the ideXlab platform.
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Approximate Bayesian estimates of Weibull parameters with Lindley's method
2014Co-Authors: Chris Bambey Guure, Noor Akma IbrahimAbstract:One of the most important lifetime distributions that is used for modelling and analysing data in clinical, life sciences and engineering is the Weibull distribution. The main objective of this paper was to determine the best Estimator for the two-parameter Weibull distribution. The methods under consideration are the frequentist maximum likelihood Estimator, least Square Regression Estimator and the Bayesian Estimator by using two loss functions, which are Squared error and linear exponential. Lindley approximation is used to obtain the Bayes estimates. Comparisons are made through simulation study to determine the performance of these methods. Based on the results obtained from this simulation study the Bayesian approach used in estimating the Weibull parameters under linear exponential loss function is found to be superior as compared to the conventional maximum likelihood and least Squared methods.
Chris Bambey Guure - One of the best experts on this subject based on the ideXlab platform.
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Approximate Bayesian estimates of Weibull parameters with Lindley's method
2014Co-Authors: Chris Bambey Guure, Noor Akma IbrahimAbstract:One of the most important lifetime distributions that is used for modelling and analysing data in clinical, life sciences and engineering is the Weibull distribution. The main objective of this paper was to determine the best Estimator for the two-parameter Weibull distribution. The methods under consideration are the frequentist maximum likelihood Estimator, least Square Regression Estimator and the Bayesian Estimator by using two loss functions, which are Squared error and linear exponential. Lindley approximation is used to obtain the Bayes estimates. Comparisons are made through simulation study to determine the performance of these methods. Based on the results obtained from this simulation study the Bayesian approach used in estimating the Weibull parameters under linear exponential loss function is found to be superior as compared to the conventional maximum likelihood and least Squared methods.
Juan Wang - One of the best experts on this subject based on the ideXlab platform.
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Explaining business excellence in Chinese firms: how does institutional relatedness matter?
Chinese Management Studies, 2020Co-Authors: Haifeng Yan, Qihu Wang, Juan WangAbstract:Purpose It is widely accepted that business excellence comes from firm-specific factors. However, it is still unclear how institutional relatedness – the degree of embeddedness with the dominant institutions that confer resources and legitimacy, influences the business excellence of the firm. The purpose of this study is to explore the influence of three kinds of institutional relatedness, i.e. home government ties, initial public offerings (IPOs) and alliances with foreign firms, on the business excellence of Chinese firms. Design/methodology/approach This study uses a sample of firms enlisted on the “Most Respected Companies” rank in China during the period 2002–2015 and their paired firms who are absent from the list, by means of ordinary least Square Regression Estimator, to explore the relationship between institutional relatedness and business excellence. Findings The empirical results suggest that IPOs and alliances with foreign firms significantly strengthen firms’ business excellence. Furthermore, home government ties have positive effects on outbound IPOs and alliances with foreign firms but hinder business excellence. Originality/value This study extends the business excellence literature by characterizing institutional rather than firm-specific factors from an institution-based view. It also enriches research on outcomes of institutional relatedness through investigating empirically its impact on business excellence. The findings provide new insights into the dual role of home government ties in achieving business excellence.
Haifeng Yan - One of the best experts on this subject based on the ideXlab platform.
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Explaining business excellence in Chinese firms: how does institutional relatedness matter?
Chinese Management Studies, 2020Co-Authors: Haifeng Yan, Qihu Wang, Juan WangAbstract:Purpose It is widely accepted that business excellence comes from firm-specific factors. However, it is still unclear how institutional relatedness – the degree of embeddedness with the dominant institutions that confer resources and legitimacy, influences the business excellence of the firm. The purpose of this study is to explore the influence of three kinds of institutional relatedness, i.e. home government ties, initial public offerings (IPOs) and alliances with foreign firms, on the business excellence of Chinese firms. Design/methodology/approach This study uses a sample of firms enlisted on the “Most Respected Companies” rank in China during the period 2002–2015 and their paired firms who are absent from the list, by means of ordinary least Square Regression Estimator, to explore the relationship between institutional relatedness and business excellence. Findings The empirical results suggest that IPOs and alliances with foreign firms significantly strengthen firms’ business excellence. Furthermore, home government ties have positive effects on outbound IPOs and alliances with foreign firms but hinder business excellence. Originality/value This study extends the business excellence literature by characterizing institutional rather than firm-specific factors from an institution-based view. It also enriches research on outcomes of institutional relatedness through investigating empirically its impact on business excellence. The findings provide new insights into the dual role of home government ties in achieving business excellence.