Northampton Community College

About: Northampton Community College is a education organization based out in Bethlehem, Pennsylvania, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 3410 authors who have published 4582 publications receiving 130398 citations. The organization is also known as: Northampton County Area Community College.

Relationships between flowering phenology, plant size and reproductive success in Lotus corniculatus (Fabaceae)

Abstract: Over three years the flowering phenology of individuals of Lotus corniculatus has been studied in relation to fruit set and seed predation to determine the relationships between four components of flowering time, plant size and reproductive success. Timings of first and peak flowering, and duration and synchrony of flowering differed between individuals in the same years. Between years, timing of first flowering was highly correlated for the same individuals, and was closely correlated with plant size and duration of flowering–larger plants flowered earlier and for a longer period. Peak flowering and synchrony were not correlated between-years for individuals. Fruit production and seed predation were correlated with some of the components of flowering phenology in some years, but not in others. The inconstancy of these relationships suggests that directional or stabilising selection is not acting consistently on the aspects of reproductive success studied in this work. The inconstancy of selection may result in the rather asynchronous flowering phenologies of individuals of L. corniculatus observed. We emphasize the importance of studying different components of flowering phenology in relation to individual plant size over several seasons. This work has shown that plant size not only has a direct effect on individual plant fecundity but also can influence flowering time and hence indirectly affect reproductive output.

Fitness model for the Italian interbank money market

Abstract: We use the theory of complex networks in order to quantitatively characterize the formation of communities in a particular financial market. The system is composed by different banks exchanging on a daily basis loans and debts of liquidity. Through topological analysis and by means of a model of network growth we can determine the formation of different group of banks characterized by different business strategy. The model based on Pareto’s law makes no use of growth or preferential attachment and it reproduces correctly all the various statistical properties of the system. We believe that this network modeling of the market could be an efficient way to evaluate the impact of different policies in the market of liquidity.

Analytic and bootstrap estimates of prediction errors in claims reserving

Abstract: We consider an appropriate residual definition for use in a bootstrap exercise to provide a computationally simple method of obtaining reserve prediction errors for a generalised linear model which reproduces the reserve estimates of the chain ladder technique (under certain restrictions which are specified in the paper). We show how the bootstrap prediction errors can be computed easily in a spreadsheet, without the need for statistical software packages. The bootstrap prediction errors are compared with their analytic equivalent from other stochastic reserving models, and also compared with other methods commonly used, including Mack’s distribution free approach (Mack, 1993. ASTIN Bulletin 23 (2), 213–225) and methods based on log-linear models.