Estimation of Production Functions on Fishery: A Danish Survey [PDF]
The fishing fleet and the component parts of effort and production can be de-scribed and analysed in different ways. As an example, the fishing fleet can be described using a list of different production function specifications.
Ayoe Hoff +2 more
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Discussion on common errors in analyzing sea level accelerations, solar trends and global warming
, 2013 Errors in applying regression models and wavelet filters used to analyze geophysical signals are discussed: (1) multidecadal natural oscillations (e.g.
Scafetta, Nicola
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A New Kibria-Lukman-Type Estimator for Poisson Regression Models
Acta InfologicaOne of the most important models for the analysis of count data is the Poisson Regression Model (PRM). The parameter estimates of the PRM are obtained by the Maximum Likelihood Estimator (MLE).
Cemal Çiçek, Kadri Ulaş Akay
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"Minimax Multivariate Empirical Bayes Estimators under Multicollinearity" [PDF]
In this paper we consider the problem of estimating the matrix of regression coefficients in a multivariate linear regression model in which the design matrix is near singular.
M. S. Srivastava, Tatsuya Kubokawa
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A monte carlo simulation study on high leverage collinearity-enhancing observation and its effect on multicollinearity pattern. [PDF]
, 2011 Outliers in the X-direction or high leverage points are the latest known source of multicollinearity. Multicollinearity is a nonorthogonality of two or more explanatory variables in multiple regression models, which may have important influential impacts
Bagheri, Arezoo +2 more
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Sample Size and Robustness of Inferences from Logistic Regression in the Presence of Nonlinearity and Multicollinearity [PDF]
The logistic regression models has been widely used in the social and natural sciences and results from studies using this model can have significant impact. Thus, confidence in the reliability of inferences drawn from these models is essential.
Bergtold, Jason S. +2 more
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On the use of observational data in studying biodiversity-productivity relationships in forests
The Forestry Chronicle, 2019 The biodiversity-productivity relationship is one of the focus areas in ecological research that is studied primarily through mixed species experiments.
Xiuli Chu +3 more
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An empirical investigation of failing companies and their determinants using the hazard model in an emerging capital market [PDF]
, 2005 The purpose of this study is to highlight the predictors of financial distress during the period 1990 to 2000. Previous studies highlight the inadequacies of the MDA and the log it models and suggest that a hazard model gives a more accurate result due ...
Abdullah, Nur Adiana Hiau +1 more
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Research in StatisticsThis article proposes some new estimators, namely Stein’s estimators for ridge regression and Kibria and Lukman estimator and compares their performance with some existing estimators, namely maximum likelihood estimator (MLE), ridge regression estimator,
Md Ariful Hoque, B. M. Golam Kibria
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Using ridge regression in systematic pointing error corrections [PDF]
A pointing error model is used in the antenna calibration process. Data from spacecraft or radio star observations are used to determine the parameters in the model.
Guiar, C. N.
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