A Review of Risk Perceptions and Other Factors that Influence Flood Mitigation Behavior

In flood risk management, a shift can be observed toward more integrated approaches that increasingly address the role of private households in implementing flood damage mitigation measures. This has resulted in a growing number of studies into the supposed positive relationship between individual flood risk perceptions and mitigation behavior. Our literature review shows, however, that, actually, this relationship is hardly observed in empirical studies. Two arguments are provided as an explanation. First, on the basis of protection motivation theory, a theoretical framework is discussed suggesting that individuals’ high‐risk perceptions need to be accompanied by coping appraisal to result in a protective response. Second, it is pointed out that possible feedback from already‐adopted mitigation measures on risk perceptions has hardly been considered by current studies. In addition, we also provide a review of factors that drive precautionary behavior other than risk perceptions. It is found that factors such as coping appraisal are consistently related to mitigation behavior. We conclude, therefore, that the current focus on risk perceptions as a means to explain and promote private flood mitigation behavior is not supported on either theoretical or empirical grounds.     

Female High School Dropouts A Relational View

This study investigates risk and protective factors of Taiwanese female students who dropped out of high school. Twenty female youth who had dropped out of high school and who grew up and resided in Taiwan voluntarily participated in this study. Findings revealed particular relational conflicts and coping strategies employed by the girls that contributed to significant vulnerability, conflict at school and school dropout. Implications for social work practice are addressed.     

Financial Abuse of Elders and Dependent Adults: The FAST (Financial Abuse Specialist Team) Approach

ABSTRACT

The Financial Abuse Specialist Team, a partnership of professionals from diverse disciplines, volunteer their time to review cases of financial elder abuse and facilitate comprehensive service delivery. The team also advocates for legislative reform, educates the community about the problem, and trains professionals in how to recognize, prevent, and resolve financial elder abuse.     

The Late-Life Divorced

This study on divorce and the elderly includes a secondary analysis of data taken from Current Population Reports (CPR) and from The National Survey of Families and Households (NSFH). Age specific divorce prevalence rates calculated using the CPR, suggests an increase in the proportion of elderly divorced persons over the last 15 years, with the proportion of divorced women being greater than that of divorced men. Findings from the analysis of NSFH data suggests that women were more likely to turn to others for emotional support during separation than were men. Older women were more likely to than older men, The younger were more likely to than the older. Older women had better adjustment scores and overall happiness than did older men.     

Reliability analysis of consecutive k-out-of-n systems with non-identical components lifetimes

In recent years, the study of reliability properties of consecutive k-out-of-n systems has attracted a great deal of attention from both theoretical and practical perspectives. In this paper we consider linear and circular consecutive k-out-of-n systems. It is assumed that lifetimes of components of the systems are independent but their probability distributions are non-identical. We study the reliability properties of the residual lifetimes of such systems under the condition that at least (n−r+1), r≤n, components of the system are operating. We also investigate the probability that a specific number of components of the above-mentioned system operate at time t, t>0, under the condition that the system is alive at time t.     

Residual Kriging for Functional Spatial Prediction of Salinity Curves

Recently, several methodologies to perform geostatistical analysis of functional data have been proposed. All of them assume that the spatial functional process considered is stationary. However, in practice, we often have nonstationary functional data because there exists an explicit spatial trend in the mean. Here, we propose a methodology to extend kriging predictors for functional data to the case where the mean function is not constant through the region of interest. We consider an approach based on the classical residual kriging method used in univariate geostatistics. We propose a three steps procedure. Initially, a functional regression model is used to detrend the mean. Then we apply kriging methods for functional data to the regression residuals to predict a residual curve at a non-data location. Finally, the prediction curve is obtained as the sum of the trend and the residual prediction. We apply the methodology to salinity data corresponding to 21 salinity curves recorded at the Ciénaga Grande de Santa Marta estuary, located in the Caribbean coast of Colombia. A cross-validation analysis was carried out to track the performance of the proposed methodology.     

Residual Renyi entropy of k-record values

ABSTRACT

In this article, the residual Renyi entropy (RRE) of k-record values arising from an absolutely continuous distribution is considered. A representation of RRE of k-records arising from an arbitrary distribution in terms of RRE of k-record values arising from uniform distribution is given. Some properties for RRE of k-records are also discussed.     

Semiparametric median residual life model and inference

For randomly censored data, the authors propose a general class of semiparametric median residual life models. They incorporate covariates in a generalized linear form while leaving the baseline median residual life function completely unspecified. Despite the non‐identifiability of the survival function for a given median residual life function, a simple and natural procedure is proposed to estimate the regression parameters and the baseline median residual life function. The authors derive the asymptotic properties for the estimators, and demonstrate the numerical performance of the proposed method through simulation studies. The median residual life model can be easily generalized to model other quantiles, and the estimation method can also be applied to the mean residual life model. The Canadian Journal of Statistics 38: 665–679; 2010 © 2010 Statistical Society of Canada     

Title Index

Abstract

This article describes how electronic resources have impacted the University of Nevada, Las Vegas (UNLV) Libraries' binding operation and how the libraries have responded to the resulting challenges, including the need for updated collection development and preservation/conservation policies, a comprehensive bindery contract, and a fully functional in-house binding capability. The evaluation of the binding process must continue as libraries move from a predominantly print to a predominantly electronic environment. Librarians, scholars, and binders should work together to preserve and bind library collections that will be valuable to future generations.