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Population Size Estimation Using Zero-Truncated Poisson Regression with Measurement Error
Population size estimation is an important research field in biological sciences. In practice, covariates are often measured upon capture on...
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On the Maximum Likelihood Estimation of Population and Domain Means
Estimating of population and domain means based on model-design approaches is considered in this paper. Population elements randomly belong to...
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Introduction to Inferential Statistics 2: Population and Parameter Estimation
The chapter considers the critical distinction of sample and population, and it covers the interplay of sampling on the one hand and parameter...
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Estimation
In many real-life problems, the population parameter(s) is (are) unknown and someone is interested to obtain the value(s) of parameter(s). But, if...
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Predictive Estimation of Finite Population Mean in Case of Missing Data Under Two-phase Sampling
The present paper deals with the problem of estimation of finite population mean of study variable using two auxiliary variables in two-phase...
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Population Size Estimation by Repeated Identifications of Units. A Bayesian Semi-parametric Mixture Model Approach
The use of mixture models for estimating the size of an elusive population when capture rates vary among individuals has received strong attention...
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Geographically Weighted Regression-Based Model Calibration Estimation of Finite Population Total Under Geo-referenced Complex Surveys
In sample surveys, the model calibration approach is an improvement over the usual calibration approach, where the concept of the calibration...
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Population size estimation based upon zero-truncated, one-inflated and sparse count data
Estimating the size of a hard-to-count population is a challenging matter. In particular, when only few observations of the population to be...
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Statistical framework for fully register based population counts
The increasing availability of registers or administrative archives has been a strong push towards moving from traditional censuses to combined...
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The Influence of Clustering Population on Estimation Accuracy of Population Totals Vector
The estimation accuracy of a population totals vector based on a simple cluster sample is considered. The variance-covariance matrix of estimators...
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Sampling for Estimation of Finite Population Quantities
Techniques for sampling finite populations and estimating population parameters are presented. Formulas are given for the expected value and variance...
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A Class of Estimators for Estimation of Population Mean Under Random Non-response in Two Phase Successive Sampling
This paper presents some efficient classes of estimators of population mean on current occasion in the presence of random non-response under a...
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Optimizing Maximum Likelihood Estimation in Performance Factor Analysis: A Comparative Study of Estimation Methods
Assessment methods impact learning and ensure alignment with course goals. However, formative assessments face model selection challenges influenced...
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Estimation of Population Mean Using Exponential Ratio and Product Type Estimators Under Ranked Set Sampling in Presence of Measurement Error
Measurement errors may significantly impact the accuracy of estimates in sample surveys. Even a small presence of such errors may raise doubts among...
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Bias Calibration for Robust Estimation in Small Areas
It is well known that the existence of outliers in a sample can significantly affect the estimation of population parameters. Intuition suggests that...
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Sample Size and Power
The idea and examples for the determination of an adequate study sample size for making inferences about one and two means and proportions are...
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Statistical Inference II: Bootstrap** Methods for Parameter Estimation
Statistical inference involves making probabilistic conclusions, based on sample data, about population parameters and relationships between...
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Risk projection for time-to-event outcome from population-based case–control studies leveraging summary statistics from the target population
Risk stratification based on prediction models has become increasingly important in preventing and managing chronic diseases. However, due to cost-...
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Animal Density Estimation for Large Unmarked Populations Using a Spatially Explicit Model
Obtaining abundance and density estimates is a particularly important aspect within wildlife conservation and management. To monitor wildlife...
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