FITTING GROWTH REGRESSION MODEL TO THE BOOLEAN RANDOM SETS

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KHAZAEI MOJTABA

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Journal: JOURNAL OF STATISTICAL SCIENCES Year:2008 | Volume:2 | Issue:1 Page(s): 51-71

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Information Journal Paper

Title

FITTING GROWTH REGRESSION MODEL TO THE BOOLEAN RANDOM SETS

Author(s)

KHAZAEI MOJTABA | Issue Writer Certificate

Keywords

RANDOM CLOSED SETSQ4

HITTING FUNCTIONQ4

VOLUME FRACTIONQ4

BOOLEAN MODELQ4

REGRESSIONQ4

GROWTH REGRESSION MODELQ4

Abstract

One of the models that can be used to study the relationship between Boolean random sets and explanatory variables is growth REGRESSION model which is defined by generalization of BOOLEAN MODEL and permitting its grains distribution to be dependent on the values of explanatory variables. This model can be used in the study of behavior of Boolean random sets when their coverage regions variation is associated with the variation of grains size. In this paper we make possible the identification and fitting suitable growth model using available information in BOOLEAN MODEL realizations and values of explanatory variables. Also, a suitable method for fitting growth REGRESSION model is presented and properties of its obtained estimators are studied by a simulation study.

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APA: Copy

KHAZAEI, MOJTABA. (2008). FITTING GROWTH REGRESSION MODEL TO THE BOOLEAN RANDOM SETS. JOURNAL OF STATISTICAL SCIENCES, 2(1), 51-71. SID. https://sid.ir/paper/124167/en

Vancouver: Copy

KHAZAEI MOJTABA. FITTING GROWTH REGRESSION MODEL TO THE BOOLEAN RANDOM SETS. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2008;2(1):51-71. Available from: https://sid.ir/paper/124167/en

IEEE: Copy

MOJTABA KHAZAEI, “FITTING GROWTH REGRESSION MODEL TO THE BOOLEAN RANDOM SETS,” JOURNAL OF STATISTICAL SCIENCES, vol. 2, no. 1, pp. 51–71, 2008, [Online]. Available: https://sid.ir/paper/124167/en

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