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Information Journal Paper

Title

TWO LEVELS ANALYSIS WITH SKEW NORMAL RANDOM EFFECTS AND MODELING OF LONGITUDINAL DATA

Pages

  233-248

Abstract

 In TWO LEVEL MODELING, random effect and error's normality assumption is one of the basic assumptions. Violating this assumption leads to incorrect inference about coefficients of the model. In this paper, to resolve this problem, we use skew normal distribution instead of normal distribution for random and error components. Also, we show that ignoring positive (negative) skewness in the model causes overestimating (underestimating) in intercept estimation and underestimating (overestimating) in slope estimation by a simulation study. Finally, we use this model to study relationship between shift work and blood cholesterol.

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    APA: Copy

    GHOLAMI FESHARAKI, MOHAMMAD, KAZEMNEJAD, ANOSHIRVAN, & ZAYERI, FARID. (2014). TWO LEVELS ANALYSIS WITH SKEW NORMAL RANDOM EFFECTS AND MODELING OF LONGITUDINAL DATA. JOURNAL OF STATISTICAL SCIENCES, 7(2), 233-248. SID. https://sid.ir/paper/124096/en

    Vancouver: Copy

    GHOLAMI FESHARAKI MOHAMMAD, KAZEMNEJAD ANOSHIRVAN, ZAYERI FARID. TWO LEVELS ANALYSIS WITH SKEW NORMAL RANDOM EFFECTS AND MODELING OF LONGITUDINAL DATA. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2014;7(2):233-248. Available from: https://sid.ir/paper/124096/en

    IEEE: Copy

    MOHAMMAD GHOLAMI FESHARAKI, ANOSHIRVAN KAZEMNEJAD, and FARID ZAYERI, “TWO LEVELS ANALYSIS WITH SKEW NORMAL RANDOM EFFECTS AND MODELING OF LONGITUDINAL DATA,” JOURNAL OF STATISTICAL SCIENCES, vol. 7, no. 2, pp. 233–248, 2014, [Online]. Available: https://sid.ir/paper/124096/en

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