Most Recent Additions*
Charged space debris induced nonlinear magnetosonic waves using inertial magnetohydrodynamics
Siba Prasad Acharya, Abhik Mukherjee, and M. S. Janaki
On the Vulnerability of Community Structure in Complex Networks
Viraj Parimi, Arindam Pal, Sushmita Ruj, Ponnurangam Kumaraguru, and Tanmoy Chakraborty
Deep learning for noninvasive management of brain tumors
Subhashis Banerjee and Sushmita Mitra
Nowcasting of COVID-19 Confirmed Cases: Foundations, Trends, and Challenges
Tanujit Chakraborty, Indrajit Ghosh, Tirna Mahajan, and Tejasvi Arora
Intracranial hemorrhage detection and classification using deep learning
Naveen Ojha and Sugata Banerji
Super-Population Modeling. Model-Assisted Approach. Asymptotics
Arijit Chaudhuri and Sanghamitra Pal
Randomized Response and Indirect Survey Techniques
Arijit Chaudhuri and Sanghamitra Pal
Prediction Approach: Robustness, Bayesian Methods, Empirical Bayes
Arijit Chaudhuri and Sanghamitra Pal
Study of Analytical Surveys
Arijit Chaudhuri and Sanghamitra Pal
Fixing Size of a Sample in Complex Strategies
Arijit Chaudhuri and Sanghamitra Pal
Network and Adaptive Sampling
Arijit Chaudhuri and Sanghamitra Pal
Sampling with Varying Probabilities
Arijit Chaudhuri and Sanghamitra Pal
Meaning and Purpose of Survey Sampling
Arijit Chaudhuri and Sanghamitra Pal
Estimation of Non-linear Parametric Functions
Arijit Chaudhuri and Sanghamitra Pal
Inference in Survey Sampling
Arijit Chaudhuri and Sanghamitra Pal
Inadequate and Multiple Frame Data and Conditional Inference
Arijit Chaudhuri and Sanghamitra Pal
Adjusting Unit-Nonresponse by Weighting and Tackling Item-Nonresponse by Imputation
Arijit Chaudhuri and Sanghamitra Pal
Small Area Estimation and Developing Small Domain Statistics
Arijit Chaudhuri and Sanghamitra Pal
Fixing the Size of an Equal Probability Sample
Arijit Chaudhuri and Sanghamitra Pal
Permanent Random Numbers, Poisson Sampling and Collocated Sampling
Arijit Chaudhuri and Sanghamitra Pal
*Updated as of 07/26/24.