POISSON REGRESSION MODEL PREDICTION ON THE VALUE OF ACADEMIC PUBLICATION
Kastury Gohain, Nurain Binti Samsury, Nurliyana Binti Mohd Zamani
Abstract
Kastury Gohain, Nurain Binti Samsury, Nurliyana Binti Mohd Zamani
Abstract
feasible implementation to predict the future outcomes is by using a poisson regression model to forecast the quantity of research publication which is supported by the time spent in developing research and the number of years experienced by an academician. Poisson regression method is a classification of General Linear models where the variable under observation follows a poisson distribution with discrete variables making it identical to poisson regression model. Research is a skill to be practiced; however there are numerous components of this skill that must be directed, so potential knowledge makers can navigate contradictory, unpredicted and sensitive situation successfully.
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feasible implementation to predict the future outcomes is by using a poisson regression model to forecast the quantity of research publication which is supported by the time spent in developing research and the number of years experienced by an academician. Poisson regression method is a classification of General Linear models where the variable under observation follows a poisson distribution with discrete variables making it identical to poisson regression model. Research is a skill to be practiced; however there are numerous components of this skill that must be directed, so potential knowledge makers can navigate contradictory, unpredicted and sensitive situation successfully.
Key concepts: Poisson regression, Poisson distribution, Regression analysis, Econometrics, Generalized linear model, Statistics, Linear regression, Mathematics