Scholarly Commons @ MU
Browsing Miljkovic,Tatjana by Issue Date
Now showing items 1-20 of 24
-
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...