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Journal of Applied Statistics Volume 41, 2014 - Issue 12
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Original Articles

Sensitivity analysis for the identifiability with application to latent random effect model for the mixed data

E. Bahrami SamaniDepartment of Statistics, Shahid Beheshti University, Tehran, IranCorrespondence[email protected]
Pages 2761-2776 | Received 29 Oct 2013, Accepted 27 May 2014, Published online: 26 Jun 2014

Citations (5)

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Read on this site (3)

Marta Regis, Alberto Brini, Nazanin Nooraee, Reinder Haakma & Edwin R. van den Heuvel. (2022) The t linear mixed model: model formulation, identifiability and estimation. Communications in Statistics - Simulation and Computation 51:5, pages 2318-2342.
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Nastaran Sharifian, Ehsan Bahrami Samani & Mojtaba Ganjali. (2021) Joint modeling for longitudinal set-inflated continuous and count responses. Communications in Statistics - Theory and Methods 50:5, pages 1134-1160.
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Elham Tabrizi, Ehsan Bahrami Samani & Mojtaba Ganjali. (2020) Identifiability of parameters in longitudinal correlated Poisson and inflated beta regression model with non-ignorable missing mechanism. Statistics 54:3, pages 524-543.
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Articles from other publishers (2)

Elham Tabrizi, Ehsan Bahrami Samani & Mojtaba Ganjali. (2020) A note on the identifiability of latent variable models for mixed longitudinal data. Statistics & Probability Letters 167, pages 108882.
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Amirhossein Ghatari, Ashkan Shabbak & Elham Tabrizi. (2020) A Note on the Identifiability of General Bayesian Gaussian Models. Journal of Statistical Research of Iran 16:2, pages 559-569.
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