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Catastrophe events occur rather infrequently, but upon their occurrence, can lead to colossal losses for insurance companies. Due to their size and volatility, catastrophe losses are often treated separately from other insurance losses. In fact, many property and casualty insurance companies feature a department or team which focuses solely on modeling catastrophes. Setting reserves for catastrophe losses is difficult due to their unpredictable and often long-tailed nature. Determining loss development factors (LDFs) to estimate the ultimate loss amounts for catastrophe events is one method for setting reserves. In an attempt to aid Company XYZ set more accurate reserves, the research conducted focuses on estimating LDFs for catastrophes which have already occurred and have been settled. Furthermore, the research describes the process used to build a linear model in R to estimate LDFs for Company XYZ's closed catastrophe claims from 2001 \u2014 2016. This linear model was used to predict a catastrophe's LDFs based on the age in weeks of the catastrophe during the first year. Back testing was also performed, as was the comparison between the estimated ultimate losses and actual losses. Future research consideration was proposed.
ContributorsSwoverland, Robert Bo (Author) / Milovanovic, Jelena (Thesis director) / Zicarelli, John (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Loneliness and depression in older adults are under-recognized public health concerns that increase risks for all-cause mortality, medical morbidity, and rising healthcare costs. This quality improvement project assessed whether smartphone Mindfulness software mitigated self-reported feelings of loneliness and depression among community-dwelling older adults. Nine participants aged 65 and older, living at home, experiencing loneliness or depression, and owning a smartphone were recruited using newsletters and fliers. A short demographics questionnaire and two valid and reliable instruments, namely the University of California Los Angeles Loneliness Scale (UCLA V3) and Geriatric Depression Scale (GDS), were used in pre-intervention and four weeks post-intervention. Participants downloaded the UCLA Mindful app on their smartphones after attending a 20-minute Mindfulness education at a local church banquet room. Participants used the UCLA Mindful software twice weekly for ten minutes for four weeks. Of the nine participants, three completed the study. A two-tailed paired sample t-test and descriptive analysis were used to evaluate the efficacy of the UCLA Mindful smartphone software. The results of the two-tailed paired sample t-test were not statistically significant for the UCLA V3 Loneliness scale (p=.220) and GDS (p=.208) due to the small sample size. Although the results were negligible, participants nevertheless reported favorable impacts. Future research with a larger sample size is encouraged.
ContributorsMurdock, J. Kristine (Author) / Guthery, Ann (Thesis advisor) / College of Nursing and Health Innovation (Contributor)
Created2023-04-26
Description
AARP estimates that 90% of seniors wish to remain in their homes during retirement. Seniors need assistance as they age, historically they have received assistance from either family members, nursing homes, or Continuing Care Retirement Communities. For seniors not wanting any of these options, there has been very few alternatives. Now, the emergence of the continuing care at home program is providing hope for a different method of elder care moving forward. CCaH programs offer services such as: skilled nursing care, care coordination, emergency response systems, aid with personal and health care, and transportation. Such services allow seniors to continue to live in their own home with assistance as their health deteriorates over time. Currently, only 30 CCaH programs exist. With the growth of the elderly population in the coming years, this model seems poised for growth.
ContributorsSturm, Brendan (Author) / Milovanovic, Jelena (Thesis director) / Hassett, Matthew (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05