Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data: Proceedings of the 2015 International Symposium in Statistics (Lecture Notes in Statistics (218))
معرفی کتاب «Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data: Proceedings of the 2015 International Symposium in Statistics (Lecture Notes in Statistics (218))» نوشتهٔ Brajendra C. Sutradhar (eds.)، منتشرشده توسط نشر Springer International Publishing در سال 2016. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
This Proceedings Volume Contains Eight Selected Papers That Were Presented In The International Symposium In Statistics (iss) 2015 On Advances In Parametric And Semi-parametric Analysis Of Multivariate, Time Series, Spatial-temporal, And Familial-longitudinal Data, Held In St. John’s, Canada From July 6 To 8, 2015. The Main Objective Of The Iss-2015 Was The Discussion On Advances And Challenges In Parametric And Semi-parametric Analysis For Correlated Data In Both Continuous And Discrete Setups. Thus, As A Reflection Of The Theme Of The Symposium, The Eight Papers Of This Proceedings Volume Are Presented In Four Parts. Part I Is Comprised Of Papers Examining Elliptical T Distribution Theory. In Part Ii, The Papers Cover Spatial And Temporal Data Analysis. Part Iii Is Focused On Longitudinal Multinomial Models In Parametric And Semi-parametric Setups. Finally Part Iv Concludes With A Paper On The Inferences For Longitudinal Data Subject To A Challenge Of Important Covariates Selection From A Set Of Large Number Of Covariates Available For The Individuals In The Study. Edited By Brajendra C. Sutradhar. Front Matter....Pages i-xix Front Matter....Pages 1-1 Advances and Challenges in Inferences for Elliptically Contoured t Distributions....Pages 3-39 Longitudinal Mixed Models with t Random Effects for Repeated Count and Binary Data....Pages 41-71 Front Matter....Pages 73-73 Zero-Inflated Spatial Models: Application and Interpretation....Pages 75-96 Inferences in Stochastic Volatility Models: A New Simpler Way....Pages 97-131 Front Matter....Pages 133-133 A Generalization of the Familial Longitudinal Binary Model to the Multinomial Setup....Pages 135-168 Dynamic Models for Longitudinal Ordinal Non-stationary Categorical Data....Pages 169-197 Semi-parametric Models for Longitudinal Count, Binary and Multinomial Data....Pages 199-229 Front Matter....Pages 231-231 Penalized Generalized Quasi-Likelihood Based Variable Selection for Longitudinal Data....Pages 233-250 Back Matter....Pages 251-256
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