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Information Journal Paper

Title

PARAMETER ESTIMATION IN SPATIAL GENERALIZED LINEAR MIXED MODELS WITH SKEW GAUSSIAN RANDOM EFFECTS USING LAPLACE APPROXIMATION

Pages

  157-169

Abstract

 Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using LAPLACE APPROXIMATION of likelihood function. In these models, the spatial correlation structure of data is carried out by RANDOM EFFECTS or latent variables. In most spatial analysis, it is assumed that RANDOM EFFECTS have Gaussian distribution, but the assumption is questionable. This assumption is replaced in the present work, using a skew Gaussian distribution for the latent variables, which is more flexible and includes Gaussian distribution. We examine the proposed method using a real discrete data set.

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    APA: Copy

    HOSSEINI SHOJAEI, SEYED REZA, WAGHEI, YADOLLAH, & MOHAMMADZADEH, MOHSEN. (2018). PARAMETER ESTIMATION IN SPATIAL GENERALIZED LINEAR MIXED MODELS WITH SKEW GAUSSIAN RANDOM EFFECTS USING LAPLACE APPROXIMATION. JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI), 14(2), 157-169. SID. https://sid.ir/paper/706606/en

    Vancouver: Copy

    HOSSEINI SHOJAEI SEYED REZA, WAGHEI YADOLLAH, MOHAMMADZADEH MOHSEN. PARAMETER ESTIMATION IN SPATIAL GENERALIZED LINEAR MIXED MODELS WITH SKEW GAUSSIAN RANDOM EFFECTS USING LAPLACE APPROXIMATION. JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI)[Internet]. 2018;14(2):157-169. Available from: https://sid.ir/paper/706606/en

    IEEE: Copy

    SEYED REZA HOSSEINI SHOJAEI, YADOLLAH WAGHEI, and MOHSEN MOHAMMADZADEH, “PARAMETER ESTIMATION IN SPATIAL GENERALIZED LINEAR MIXED MODELS WITH SKEW GAUSSIAN RANDOM EFFECTS USING LAPLACE APPROXIMATION,” JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI), vol. 14, no. 2, pp. 157–169, 2018, [Online]. Available: https://sid.ir/paper/706606/en

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