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- Abundance estimation (1)
- And Statistics (1)
- Auxiliary attribute (1)
- Bayesian hierarchical modeling (1)
- COVID-19 (1)
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- Correlation Coefficient of Interval Neutrosophic Set (1)
- Detection heterogeneity (1)
- Detection probability (1)
- Efficiency (1)
- Functional Data Analysis (1)
- Neutrosophic Set (1)
- Point bi-serial correlation (1)
- Ratio estimator (1)
- Removal sampling (1)
- Simple random sampling (1)
- Trend detection (1)
- Weighted Correlation Coefficient of Interval Neutrosophic Set (1)
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Articles 1 - 4 of 4
Full-Text Articles in Statistical Theory
Evaluating The Performance Of Bayesian Removal Models For Estimating Population Density And Detecting Trends With Variable Detection Probability, David R. Stewart
Evaluating The Performance Of Bayesian Removal Models For Estimating Population Density And Detecting Trends With Variable Detection Probability, David R. Stewart
Mathematics & Statistics ETDs
Removal models have long been used to estimate population abundance by progressively capturing and removing individuals from a closed population. These models provide a valuable tool for ecological monitoring, but their accuracy depends heavily on assumptions about detection probability, which may decline over successive sampling passes. Traditional removal models assume constant detection probabilities, an assumption that is often violated in real-world applications. This thesis aims to advance hierarchical Bayesian models by accounting for variable detection probabilities, improving the reliability of abundance estimates and trend detection. By integrating simulation-based analyses with empirical data from Lahontan Cutthroat Trout (Oncorhynchus clarkia henshawi …
Functional Data Analysis Of Covid-19, Nichole L. Fluke
Functional Data Analysis Of Covid-19, Nichole L. Fluke
Mathematics & Statistics ETDs
This thesis deals with Functional Data Analysis (FDA) on COVID data. The Data involves counts for new COVID cases, hospitalized COVID patients, and new COVID deaths. The data used is for all the states and regions in the United States. The data starts in March 1st, 2020 and goes through March 31st, 2021. The FDA smooths the data and looks to see if there are similarities or differences between the states and regions in the data. The data also shows which states and regions stand out from the others and which ones are similar. Also shown …
A General Procedure Of Estimating Population Mean Using Information On Auxiliary Attribute, Sachin Malik, Rajesh Singh, Florentin Smarandache
A General Procedure Of Estimating Population Mean Using Information On Auxiliary Attribute, Sachin Malik, Rajesh Singh, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
This paper deals with the problem of estimating the finite population mean when some information on auxiliary attribute is available. It is shown that the proposed estimator is more efficient than the usual mean estimator and other existing estimators. The results have been illustrated numerically by taking empirical population considered in the literature.
Correlation Coefficient Of Interval Neutrosophic Set, Said Broumi, Florentin Smarandache
Correlation Coefficient Of Interval Neutrosophic Set, Said Broumi, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
In this paper we introduce for the first time the concept of correlation coefficients of interval valued neutrosophic set (INS for short). Respective numerical examples are presented.