Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data

Part I. Elliptical t Distribution Theory

1. Advances and Challenges in Inferences for Elliptically Contoured t Distributions
Brajendra C. Sutradhar

2. Longitudinal Mixed Models with t Random Effects for Repeated Count and Binary Data
R. Prabhakar Rao, Brajendra C. Sutradhar, V. N. Pandit

Part II. Spatial and/or Time Series Volatility Models with Applications

3. Zero-Inflated Spatial Models: Application and Interpretation
L. M. Ainsworth, C. B. Dean, R. Joy

4. Inferences in Stochastic Volatility Models: A New Simpler Way
Vickneswary Tagore, Nan Zheng, Brajendra C. Sutradhar

Part III. Longitudinal Multinomial Models in Parametric and Semi-parametric Setups

5. A Generalization of the Familial Longitudinal Binary Model to the Multinomial Setup
Brajendra C. Sutradhar, Roman Viveros-Aguilera, Taslim S. Mallick

6. Dynamic Models for Longitudinal Ordinal Non-stationary Categorical Data
Brajendra C. Sutradhar, Nairanjana Dasgupta

7. Semi-parametric Models for Longitudinal Count, Binary and Multinomial Data
Brajendra C. Sutradhar

Part IV. An Extension of the GQL Estimation Approach for Longitudinal Data Analysis

8. Penalized Generalized Quasi-Likelihood Based Variable Selection for Longitudinal Data
Tharshanna Nadarajah, Asokan Mulayath Variyath, J. Concepción Loredo-Osti

Nyckelord: Statistics, Statistical Theory and Methods, Statistics and Computing/Statistics Programs