Alpine grassland of the Tibetan Plateau is an important component of global soil organic carbon (SOC) stocks, but insufficient field observations and large spatial heterogeneity leads to great uncertainty in their estimation. In the Three Rivers Source Region (TRSR), alpine grasslands account for more than 75% of the total area. However, the regional carbon (C) stock estimate and their uncertai...

Consider an inventory model which consists in controlling the level of stock of a single product where the demands D1, D2, . . . for the product in periods 1, 2, . . . are independently and identically distributed i.i.d random variables with density function ψ, and finite mean μ < ∞. Assume that at the beginning of each period the system is reviewed and we are allowed to increase the level of s...

In this paper, we obtain sharp asymptotic formulas with error estimates for the Mellin convolution of functions defined on (0,∞) and use these formulas to characterize the asymptotic behavior of marginal distribution densities of stock price processes in mixed stochastic models. Special examples of mixed models are jump-diffusion models and stochastic volatility models with jumps. We apply our ...

Extremal dependence between international stock markets is of particular interest in today’s global financial landscape. However, previous studies have shown this dependence is not necessarily stationary over time. We concern ourselves with modeling extreme value dependence when that dependence is changing over time, or other suitable covariate. Working within a framework of asymptotic dependen...

A roentgenographic scoring system was developed to help orthopaedic surgeons and bone banks estimate the quality of bone stock in proximal femoral allografts intended to use in revision arthroplasty. This system scores a standardized anteroposterior roentgenograph of the proximal femur using four indices representing morphological features of cancellous and cortical bone known to be clinically ...

In west coast groundfish stock assessments, biological productivity is largely defined by a single parameter, i.e., steepness (h) of the Beverton-Holt spawner-recruit curve, which ranges from 0.20 (no compensation) to 1.00 (complete compensation). A steepness of 0.20 implies no latent surplus production and a total lack of resilience to the effects of exploitation, whereas a value of 1.0 implie...

The main subject dealt with in this symposium is the interaction between hunters, lynx populations and roe deer populations. One chapter is about the change in behavior of the roe deer with the appearance of lynx. Another part examines how to evaluate the effects of lynx on the roe deer population density. It ends with a case study in Germany which shows that a constructive lynx management coul...

We introduce two new techniques for density estimation. Our approach poses the problem as a supervised learning task which can be performed using Neural Networks. We introduce a stochastic method for learning the cumulative distribution and an analogous deterministic technique. We use these techniques to estimate the densities of log stock price changes, demonstrating that the density is fat-ta...

The role of the Arctic in future global change processes is predicted to be important because of the large carbon (C) stocks contained in frozen soils and peatlands. Lakes are an important component of arctic landscapes although their role in storing C is not well prescribed. The area around Kangerlussuaq, SW Greenland (66–68°N, 49–54°W) has extremely high lake density, with ~20 000 lakes that ...

Fisheries management requires spatially congruent production and assessment areas. Canada’s Northern cod, initially considered a stock complex distributed from northern Labrador to Grand Bank, had its boundary reduced southern in the early 1970s. Spatial incongruence has resulted spawning biomass (SSB) recruitment (R) between historical recent eras. To investigate temporal changes, four stanzas...