General Linear Model Specification Error Test with Missing Data

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bahari fayyaz; Safar Safar; Ganjali Mojataba

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Paper Information

Journal: ADVANCES IN MATHEMATICAL MODELING Year:2019 | Volume:9 | Issue:1 Page(s): 1-26

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Information Journal Paper

Title

General Linear Model Specification Error Test with Missing Data

Author(s)

bahari fayyaz | Safar Safar | Ganjali Mojataba | Issue Writer Certificate

Keywords

General linear model Missing data Goodness of fit Ramsey's test QuasiQ1

Fisherd distributionQ1

Abstract

In this paper, we consider a general linear model where missing data may occur in response and covariate variables. We propose a new test based on Ramsy's test to identify goodness of fit for general linear model with missing data. We show that under the null hypothesis, our test functions for complete case analysis follow a Fisher distribution and the other test function used for analysis with available data converges in distribution to Quasi-Fisher distribution. Furthermore, we compare proposed test functions by using some simulation studies. Also, we apply our methods in analyzing a real data set.

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APA: Copy

bahari, fayyaz, Safar, Safar, & Ganjali, Mojataba. (2019). General Linear Model Specification Error Test with Missing Data. ADVANCES IN MATHEMATICAL MODELING, 9(1 ), 1-26. SID. https://sid.ir/paper/243901/en

Vancouver: Copy

bahari fayyaz, Safar Safar, Ganjali Mojataba. General Linear Model Specification Error Test with Missing Data. ADVANCES IN MATHEMATICAL MODELING[Internet]. 2019;9(1 ):1-26. Available from: https://sid.ir/paper/243901/en

IEEE: Copy

fayyaz bahari, Safar Safar, and Mojataba Ganjali, “General Linear Model Specification Error Test with Missing Data,” ADVANCES IN MATHEMATICAL MODELING, vol. 9, no. 1 , pp. 1–26, 2019, [Online]. Available: https://sid.ir/paper/243901/en

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