Maximum Likelihood Models for Species Abundance Distributions

Small Area Estimation Using Model-Assisted Projection Method

Small Area Estimation using Fay-Herriot Models with Additive
Logistic Transformation
R package sae.prop version 0.1.2

Small Area Estimation: Time-Series Models

Small Area Estimation for Key Health and Demographic Indicators
from Household Surveys
R package sae4health version 1.2.3

Selecting Auxiliary Variables in Small Area Estimation (SAE)
Model

Small Area Estimation using Empirical Bayes without Auxiliary
Variable

Small Area Estimation for Continuous Zero Inflated Data

Small Area Estimation using Hierarchical Bayesian Method

Small Area Estimation with Measurement Error using Hierarchical
Bayesian Method
R package saeHB.ME version 1.0.1

SAE with Measurement Error using HB under Beta Distribution

Small Area Estimation using Hierarchical Bayesian Method for Rao
Yu Model

Small Area Estimation using HB for Rao Yu Model under Beta
Distribution
R package saeHB.panel.beta version 0.1.5

Small Area Estimation Hierarchical Bayes For Spatial Model

SAE using HB Twofold Subarea Model under Beta Distribution

Hierarchical Bayes Twofold Subarea Level Model SAE

Basic Unit Level Model using Hierarchical Bayesian Approach

Small Area Estimation using Hierarchical Bayesian under Zero
Inflated Binomial Distribution
R package saeHB.ZIB version 0.1.1

Small Area Estimation Non-Parametric Based Nadaraya-Watson
Kernel

Small Area Estimation with Measurement Error

Stochastic Approximation Expectation Maximization (SAEM)
Algorithm
R package saemix version 3.4

Computing MSPE Estimates in Small Area Estimation

Small Area Estimation with Cluster Information for Estimation of
Non-Sampled Areas
R package saens version 0.1.2

Small Area Estimation using Averaging Pseudo Area Level Model

Small Area Estimation for Rao and Yu Model

Simulation Tools for Small Area Estimation

Transformations for Unit-Level Small Area Models

Shape Analysis for AI-Reconstructed Images

Generic Data Tagging and Validation Tool

A Novel SAFE Model for Predicting Climate-Related Extreme Losses