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pro vyhledávání: '"V. N. Pandit"'
Publikováno v:
Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data ISBN: 9783319312583
Unlike the estimation for the parameters in a linear longitudinal mixed model with independent t errors, the estimation of parameters of a generalized linear longitudinal mixed model (GLLMM) for discrete such as count and binary data with independent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::558b9d4f4009a7fb927b30b1c6177681
https://doi.org/10.1007/978-3-319-31260-6_2
https://doi.org/10.1007/978-3-319-31260-6_2
Publikováno v:
Braz. J. Probab. Stat. 26, no. 2 (2012), 167-177
Linear dynamic mixed models are commonly used for continuous panel data analysis in economic statistics. There exists generalized method of moments (GMM) and generalized quasi-likelihood (GQL) inferences for binary and count panel data models, the GQ
Autor:
V. N. Pandit Rao, D. S. Ranga Rao
Publikováno v:
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics. 2:169