Periodic Distribution

ABSTRACT: [Topic: The Central Point Theory and Its Effects on Predictive Theory]. This work is an investigation of the central point theory which I am developing and its effects in predictive theory. Through the knowledge of central point theory, new predictive theory is devised to substitute the existing general regression theory. This predictive theory is named as Central Prediction Theory. The work focus on using the central prediction theory to predict several mean response variables from only one mean explanatory variable that provided no room for random error(except complicate cases). This model includes the mean component only and can be used to hypothesize an exact relationship between phenomena that cannot be modeled or explained when using the existing "general regression model". The review of linear equation, central point theory and regression theory in two or more variables are discussed fundamentally. The work precisely explained the validity of the central prediction theory and its important as compared to the existing general regression theory. The conclusion is that no text-statistics is needed to evaluate the validity of the central prediction model, since it does not account for random error, (except complicated cases). The study found that the central prediction theory can be used to construct models in econometrics, logistic prediction, survival prediction, time series prediction, predictive chemistry, Predictive physics, predictive biology, predictive economics, and predictive accounting that is almost certainly have no less than one variables and no variation due strictly to random phenomena that cannot be modeled or explained when using the existing general linear equation or regression equation that apply my Central point Principle(or equal pairing proof). This main theory which publish several times and remove in the year 2009 is in this blogs DRAF(http://williamadongo.blogspot.com). Google can test it and confirm. [BY ADONGO AYINE WILLIAM-ACTUARIAL SCIENCE STUDENT FROM UNIVERSITY FOR DEVELOPMENT STUDIES]