Despite their strengths, object-oriented metho ds (OOMs) and their supporting CASE to ols often do not produce models that are amenable to rigor ous semantic analysis. This is a direct result of their loosely de ned semantics. In this paper we outline our ongoing work on providing a semantic b ase for OOMs.

Understanding growth patterns at the metropolitan level is instructive for better planning and policy making on sustainable urban development. Using DMSP/OLS data from 1992 to 2013, this article aims to investigate growth patterns of major metropolitans in Mainland China from the aspects of intensification and expansion. We start by calibrating the DMSP/OLS data and selecting 45 major metropoli...

Regression analysis is a statistical method to analyze financial data, commonly using the least square regression technique. The has significance for all fields of study, and almost apply methods data analysis. However, ordinary technique can give misleading wrong results in presence outliers influential observations data. Robust estimation such with outliers. It an alternative necessary elabor...

Directly solving the ordinary least squares problem will (in general) require O(nd) operations. From Table 5.1, the Gaussian sketch does not actually improve upon this scaling for unconstrained problems: when m d (as is needed in the unconstrained case), then computing the sketch SA requires O(nd) operations as well. If we compute sketches using the JLT, then this cost is reduced to O(nd log(d)...

Previously identified predictors of public punitiveness include attitudinal, experiential, background, and demographic characteristics. Given the influence of parenthood on certain attitudes and beliefs, it may also affect how strongly individuals endorse harsh punishment for criminals. Few studies have explored how parenthood influences general policy preferences or support for criminal justic...