William Ramsdell Leonard 1904–1981

In this article, the corrected F statistic in the general linear model is shown to be algebraically equivalent to the corresponding statistic in the weighted least squares procedure, whenever the corrected F statistic exists. Hence, weighted least squares analysis is, in effect, a self-corrected F test procedure.     

Improved maximum-likelihood estimation of the shape parameter in the Nakagami distribution

We develop and evaluate analytic and bootstrap bias-corrected maximum-likelihood estimators for the shape parameter in the Nakagami distribution. This distribution is widely used in a variety of disciplines, and the corresponding estimator of its scale parameter is trivially unbiased. We find that both ‘corrective’ and ‘preventive’ analytic approaches to eliminating the bias, to O(n ^?2), are equally, and extremely, effective and simple to implement. As a bonus, the sizeable reduction in bias comes with a small reduction in the mean-squared error. Overall, we prefer analytic bias corrections in the case of this estimator. This preference is based on the relative computational costs and the magnitudes of the bias reductions that can be achieved in each case. Our results are illustrated with two real-data applications, including the one which provides the first application of the Nakagami distribution to data for ocean wave heights.     

NISO Webinar: The Future of Integrated Library Systems: Part 1: RDA & Cataloging

Abstract

This column's offerings cover late spring through summer to fall of 2011: NISO Webinar: The Future of Integrated Library Systems: Part 1: RDA & Cataloging (May 11); American Library Association Annual Conference (June 23–28); Association of College and Research Libraries New England Serials and Electronic Resources Interest Group Summer Program: Current Trends in E-Journals (August 18); Kentucky Library Association/Kentucky School Media Association Joint Conference (September 28–October 1); American Society for Information Science and Technology Annual Meeting (October 9–12); Great Lakes E-Summit Conference (October 10–11); and Potomac Technical Processing Librarians Annual Meeting (October 21).     

Behavioral Self-Monitoring of Safety and Productivity in the Workplace: A Methodological Primer and Quantitative Literature Review

Workplace applications of behavioral self-monitoring (BSM) methods have been studied periodically for over 35 years, yet the literature has never been systematically reviewed. Recent occupational safety interventions including BSM resulted in relatively large behavior changes. Moreover, BSM methods are functional for addressing a broad range of occupational health psychology topics. Studies (n = 24) where workers self-monitored productivity or safety behaviors were reviewed and scored along dimensions relevant to research and practice. For intervention conditions (n = 38), standardized effect sizes ranged from 0.2 to 14.5 (weighted average d = 2.8). The results encourage the use of BSM in workplace interventions, but the literature has insufficiently addressed the isolated and additive effects of BSM, worker involvement and individual differences, assessment applications, and theory testing and development.     

Education and the Gender Gaps in Health and Mortality

The positive associations between education and health and survival are well established, but whether the strength of these associations depends on gender is not. Is the beneficial influence of education on survival and on self-rated health conditioned by gender in the same way, in opposite ways, or not at all? Because women are otherwise disadvantaged in socioeconomic resources that are inputs to health, their health and survival may depend more on education than will men??s. To test this hypothesis, we use data from the National Health Interview Survey-Linked Mortality Files (NHIS-LMF). We find that education??s beneficial influence on feeling healthy and on survival are conditional on gender, but in opposite ways. Education has a larger effect on women??s self-rated health than on men??s, but a larger effect on men??s mortality. To further examine the mortality results, we examine specific causes of death. We find that the conditional effect is largest for deaths from lung cancer, respiratory disease, stroke, homicide, suicide, and accidents. Because women report worse health but men??s mortality is higher, education closes the gender gap in both health and mortality.     

Disparity,Shortfall, and Twice-Endogenous HARA Utility

We derive a mapping between the shortfall-minimizing portfolio selection based on higher-order entropy measures and expected utility theory. We show that the family of HARA utility functions has a minimum-divergence, shortfall-based representation. This facilitates an interpretation in which the risk aversion parameters and the type of risk aversion arise endogenously. We provide a numerical example illustrating this interpretation.     

Detecting Abrupt Leaks in Blended Underground Storage Tanks

We suggest and compare two multiple change-point algorithms (segmentation and sequential) for accurate detection of the onset of abrupt leaks in blended underground storage tanks. We apply these algorithms to two simulated scenarios to demonstrate the advantages of the sequential algorithm, and then we apply the sequential algorithm to the Cary blended site data. In addition, we obtain a confidence set for the locations of the change points conditional on the number of change points by inverting the related hypothesis test.