Scholarly Commons @ MU
Miljkovic,Tatjana: Recent submissions
Now showing items 1-20 of 24
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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 ... -
Using Model Averaging to Determine Suitable Risk Measure Estimates
Recent research in loss modeling resulted in a growing number of classes of statistical models as well as additional models being proposed within each class. Empirical results indicate that a range of models within or ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 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 ... -
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 ... -
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 ... -
Redefining standards for body mass index of the US population based on BRFSS data using mixtures
Using body mass index (BMI) data from 2012 Behavioral Risk Factor Surveillance System, we test a spectrum of single parametric skewed distributions as well as Gaussian mixture densities to determine best distributional ... -
UTILIZATION OF MODIFIED WHEAT AND TAPIOCA STARCHES AS FAT REPLACEMENTS IN BREAD FORMULATION
Using fat in bread production is expensive, and from the diet point of view, it counts as high caloric food. Since obesity is a significant problem in the USA and many other countries, food industries are turning to the ... -
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 ...