Scholarly Commons @ MU
Browsing Miljkovic,Tatjana by Title
Now showing items 1-20 of 24
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Assessing the performance of confidence intervals for high quantiles of Burr XII and Inverse Burr mixtures
Recent research in the area of univariate mixture modeling indicated that the finite mixture models based on Burr and Inverse Burr component distributions perform well in the modeling of heavy-tail insurance data. Mixture ... -
An evaluation of the reconstructed coefficient of determination and potential adjustments
Previously, a method was proposed for calculating a reconstructed coefficient of determination in the case of right-censored regression using the expectation–maximization (EM) algorithm. This measure is assessed via ... -
Examining the Impact on Mortality Arising from Climate Change: Important Findings for the Insurance Industry
In this paper, we analyze the impact on overall mortality rates for the general US population arising from climate change and the weather events resulting in property damages for the period 1968–2013. We develop a fixed ... -
An exploration of gender gap using advanced data science tools: actuarial research community
This paper explores the role of gender gap in the actuarial research community with advanced data science tools. The web scraping tools were employed to create a database of publications that encompasses six major actuarial ... -
Extending Composite Loss Models Using a General Framework of Advanced Computational Tools
Composite models have a long history in actuarial science because they provide a flexible method of curve-fitting for heavy-tailed insurance losses. The ongoing research in this area continuously suggests methodological ... -
Fouling-Release Performance of Silicone Oil-Modified SiloxanePolyurethane Coatings
The effect of incorporation of silicone oils into a siloxanepolyurethane fouling-release coatings system was explored. Incorporation of phenylmethyl silicone oil has been shown to improve the fouling-release performance ... -
Identifying subgroups of age and cohort effects in obesity prevalence
The obesity epidemic represents an important public health issue in the United States. Studying obesity trends across age groups over time helps to identify crucial relationships between the disease and medical treatment ... -
The Logistics of Supplying Single vs. Multi-crop Cellulosic Feedstocks to a Biorefinery in Southeast North Dakota
This study investigates the economics of supplying cellulosic crop residue feedstocks within 100 mile (or 161 km) radius of a potential new biorefinery in southeast North Dakota. We utilize linear programming transportation ... -
Market Information on Sourcing Cellulosic Feedstock for Biofuel Production in Northern Plains Region of the United States
This study investigates the availability crop residues within 100 mile radius of a potential biorefinery in southeast North Dakota. Due to the lack of market information on biomass residue supply, we conducted farm focus ... -
Mixture modeling of data with multiple partial right-censoring levels
In this paper, a new flexible approach to modeling data with multiple partial right-censoring points is proposed. This method is based on finite mixture models, flexible tool to model heterogeneity in data. A general ... -
Modeling Frequency and Severity of Claims with the Zero-Inflated Generalized Cluster-Weighted Models
In this paper, we propose two important extensions to cluster-weighted models (CWMs). First, we extend CWMs to have generalized cluster-weighted models (GCWMs) by allowing modeling of non-Gaussian distribution of the ... -
Modeling Impact of Hurricane Damages on Income Distribution in the Coastal U.S.
This article examines the impact of catastrophic hurricane events on income distribution in hurricane states in the United States. Media claims have been made and the perception created that the most damaging impact ... -
Modeling Impact of Natural Hazard- Induced Disasters on Income Distribution in the United States
Economic damage due to hurricane activities has been shown to impact income inequality in the coastal states of the United States. We consider 17 other natural hazards, in addition to hurricanes, that affected the ... -
Modeling loss data using mixtures of distributions
In this paper, we propose an alternative approach for flexible modeling of heavy tailed, skewed insurance loss data exhibiting multimodality, such as the well-known data set on Danish Fire losses. Our approach is based on ... -
Modeling veterans’ health benefit grants using the expectation maximization algorithm
A novel application of the expectation maximization (EM) algorithm is proposed for modeling rightcensored multiple regression. Parameter estimates, variability assessment, and model selection are summarized in a multiple ... -
A new analysis of VIX using mixture of regressions: Examination and short-term forecasting for the S & P 500 market
A novel approach to the analysis of S & P 500 market fluctuations is proposed using a K‐component mixture of regressions model. The Barndorff‐Nielsen and Shephard stochastic model is employed where the estimates of jumps ... -
A new computational approach for estimation of the Gini index based on grouped data
Many government agencies still rely on the grouped data as the main source of infor- mation for calculation of the Gini index. Previous research showed that the Gini index based on the grouped data suffers the first and ... -
On Two Mixture-Based Clustering Approaches Used in Modeling an Insurance Portfolio
We review two complementary mixture-based clustering approaches for modeling unobserved heterogeneity in an insurance portfolio: the generalized linear mixed cluster-weighted model (CWM) and mixture-based clustering for ...