Random vibration analysis aims to estimate the response statistics of dynamical systems subject stochastic excitations. Stochastic differential equations (SDEs) that govern general nonlinear are often complicated, and their analytical solutions scarce. Thus, a range approximate methods simulation techniques have been developed. This paper develops hybrid approach approximates governing SDE usin...

PURPOSE Our study documents how the divorce rate among persons aged 50 and older has changed between 1990 and 2010 and identifies the sociodemographic correlates of divorce among today's middle-aged and older adults. DESIGN AND METHOD We used data from the 1990 U.S. Vital Statistics Report and the 2010 American Community Survey (ACS) to examine the change in the divorce rate over time. ACS da...

The problem of system identification from a time series of measurements is solved by using nonparametric additive models. Having only few structural information about the system, a nonparametric approach may be more appropriate than a parametric one for which detailed prior knowledge is needed. Based on nonparametric regression, the functions in the additive models are estimated by a penalized ...

In this paper we apply recently developed nonparametric kernel regression estimation methods to quantify the conditional distribution of motion-picture earnings. The nonparametric data-driven approach allows the full range of relationships among variables to be captured, including nonlinearities that usually remain hidden in parametric models. The nonparametric approach does not assume a functi...

Researchers continue to question fathers' willingness to report their biological children in surveys and the ability of surveys to adequately represent fathers. To address these concerns, this study evaluates the quality of men's fertility data in the 1979 and 1997 cohorts of the National Longitudinal Survey of Youth (NLSY79 and NLSY97) and in the 2002 National Survey of Family Growth (NSFG). C...