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Jun 30, 2024 · When rho>0, mx>0, the (px) increases, and sample size (n) increases KL-M along sides, ordinary Kibria-Lukman (KL) estimator outperformed other estimators as the two anomalies occur simultaneously. The KL-M performed better, especially when the sample size was n=100.
6 days ago · To circumvent the problem of multicollinearity in regression models, a ridge‐type estimator is recently proposed in the literature, which is named as the Kibria–Lukman estimator (KLE). The KLE has … Expand
Jun 26, 2024 · An M-estimator minimizes the function. Q ( e i, ρ) = ∑ i ρ ( e i s) where ρ is a symmetric function of the residuals. The effect of ρ is to reduce the influence of outliers. s is an estimate of scale. The robust estimates β ^ are computed by the iteratively re-weighted least squares algorithm.
Jun 26, 2024 · One important value of an estimated regression equation is its ability to predict the effects on Y Y of a change in one or more values of the independent variables. The value of this is obvious. Careful policy cannot be made without estimates of the effects that may result.
5 days ago · mean and median techniques to the ridge parameter estimators proposed by Kibria (2003) and Khalaf and Shukur ( 2005 ). It was stated that their proposed new estimators were more effective
2 days ago · In statistics, maximum likelihood estimation ( MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed data. This is achieved by maximizing a likelihood function so that, under the assumed statistical model, the observed data is most probable.
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Jun 11, 2024 · In construction, the estimator's role is fundamental to project success. These professionals possess an expansive knowledge of building materials, understand the requirements for various construction projects, engage with up-to-date building methodologies and track the fluctuations of market prices as well as regulatory standards.
