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Search Results: 1 - 10 of 239386 matches for " David D. Hanagal "
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INFERENCE IN THE MULTIVARIATE EXPONENTIAL MODELS
David D. Hanagal
Journal of Reliability and Statistical Studies , 2009,
Abstract: Block (1975) extended bivariate exponential distributions (BVEDs) of Freund (1961)and Proschan and Sullo (1974) to multivariate case and called them as Generalized Freund-Weinman's multivariate exponential distributions (MVEDs). In this paper, we obtain MLEs of theparameters and large sample test for testing independence and symmetry of k components in thegeneralized Freund-Weinman's MVEDs.
MODELING HETEROGENEITY FOR BIVARIATE SURVIVAL DATA BY POWER VARIANCE FUNCTION DISTRIBUTION
David D. Hanagal
Journal of Reliability and Statistical Studies , 2009,
Abstract: We propose a bivariate Weibull regression model with frailty which is generated bypower variance function distribution. We assume that the bivariate survival data follow bivariateWeibull of Hanagal (2005a) and distribution of censoring variable is independent of the two lifetimes. There are some interesting situations like survival times in genetic epidemiology, survivaltimes of dental implants of patients and survival times of twin births (both monozygotic anddizygotic) where genetic behavior (which is unknown and random) of patients follows a powervariance function frailty distribution. These are the situations which motivate to study thisparticular model. We propose two stage maximum likelihood estimation procedure for theparameters and develop large sample tests for no frailty and the significance of regressionparameters in the proposed model.
OPTIMAL REPLACEMENT POLICIES BASED ON NUMBER OF DOWN TIMES FOR COLD STANDBY SYSTEM WHEN THE LIFETIME AND THE REPAIR TIME ARE DEPENDENT
David D. Hanagal,Rupali A. Kanade
Journal of Reliability and Statistical Studies , 2011,
Abstract: The purpose of this article is to present optimal replacement policies for a cold standbysystem consisting of two components and one repairman. By using the bivariate exponentialmodel of Freund (1961) for the life time of one component and the repair time of anothercomponent, we developed methods for obtaining optimal number of down time in such a waythat the long run expected reward per unit time is maximized. The results are illustrated with thehelp of numerical example and simulation study.
Human Capital and Inappropriate Behavior: Review and Recommendations  [PDF]
David D. Van Fleet
Journal of Human Resource and Sustainability Studies (JHRSS) , 2018, DOI: 10.4236/jhrss.2018.64042
Abstract: Human capital is vital to the successful operation of any organization, the quality of which is threatened by inappropriate organizational behavior. Reducing or eliminating such behavior is critical. Organizations must establish a positive atmosphere that guarantees the rights of all employees to a workplace free from all forms of inappropriate behavior. Morrison proposed eight “people-focused principles of management” that would enable managers to activate and fully utilize the human capital in their organizations. This preliminary study suggests that adopting those principles would benefit organizations.
Remote Monitoring of Surfaces Wetted for Dust Control on the Dry Owens Lakebed, California  [PDF]
David P. Groeneveld, David D. Barz
Open Journal of Modern Hydrology (OJMH) , 2013, DOI: 10.4236/ojmh.2013.34028
Abstract: Extensive dust control on the dry Owens Lake mainly uses constructed basins that are flooded with shallow depths of fresh water. This dust control is mandated by law as a minimum percent of the area of each individual wetting basin. Wetted surfaces are evaluated for area and degree of wetness using the shortwave infrared (SWIR) band of Landsat TM, or similar earth observation satellite sensor. The SWIR region appropriate for these measurements lies within the electromagnetic spectrum between about 1.5 and 1.8 μm wavelengths. A threshold value for Landsat TM5 band 5 reflectance of 0.19 was found to conform with surfaces having a threshold for adequate wetting at a nascent point where rapid drying would occur following loss of capillary connection with groundwater. This threshold is robust and requires no atmospheric correction for the effects of aerosol scatter and attenuation as long as the features on the image appear clear. Monthly monitoring of surface wetting has proven accurate, verifiable and repeatable using these methods. This threshold can be calibrated for any Earth observation satellite that records the appropriate SWIR region. The monitoring program is expected to provide major input for the final phase of the dust control program that will have a focus to conserve water and resources.
Remote Monitoring of Vegetation Managed for Dust Control on the Dry Owens Lakebed, California  [PDF]
David P. Groeneveld, David D. Barz
Open Journal of Modern Hydrology (OJMH) , 2013, DOI: 10.4236/ojmh.2013.34029
Abstract: A monitoring program was developed to assess the cover of saltgrass managed for dust control on the saline dry Owens Lake. Although the original intent was to manage the vegetation as total cover that included green and senesced leaf and stem material, aged leaves that make up a large proportion of total cover were not differentiable spectrally from the background salt and lakebed. Hence, greenness-based indices were explored for detection of plant recruitment. Since all plant cover begins as green and growing, greenness indices provide a measure of all future cover whether living or senesced. The criteria for judging compliance were changed so that spatially variable vegetation cover measured as a milestone will need to be met in the future. A derivative of NDVI, NDVIx, calculated using scene statistics, proved highly accurate, to about 0.001 of this index and with an average signal to noise ratio of 64. This high level of accuracy allowed detection of small changes in vegetation growth and vigor. Performance according to the benchmark-as-par standard was determined through combined use of cumulative distribution functions and derivative maps.
Review: "Toeris in Hillbrow: rubrieke" (Andries Bezuidenhout)
D David
Tydskrif vir letterkunde , 2012,
Abstract: Toeris in Hillbrow: rubrieke. Andries Bezuidenhout. Kaapstad: Human & Rousseau, 2010. 192 pp. ISBN: 978-0-798-15209-9.
Social Capital and Student Achievement: Exploring the Influence of Social Relationships on School Success in Norway and Romania  [PDF]
Lihong Huang, Diana D?mean, David Cairns
Creative Education (CE) , 2015, DOI: 10.4236/ce.2015.615166
Abstract: This paper investigates student social relationships in secondary schools and its relationship with student achievement in Norway and Romania. Using data from national youth surveys (“Young in Norway 2010” for Norway and “School Success Profile Survey 2010” for Romania), we explore the concept and measurement of social capital in the school context by applying factor analysis. The paper also tests an analytical model that links student home background, student social capital and student academic achievement, using a structural equation modelling technique (LISREL). Control variables in the analysis are student gender and ethnicity. Testing the analytical model with the two datasets respectively, the results show that student social capital, generated from student social relations with parents, teachers and peers, has a significant influence on student achievement in both countries. Analysis also confirms differences between the two countries in respect to the effect of home background variables and social capital on achievement.
Oceans, Ice & Snow and CO2 Rise, Swing and Seasonal Fluctuation  [PDF]
Michael D. Nelson, David B. Nelson
International Journal of Geosciences (IJG) , 2016, DOI: 10.4236/ijg.2016.710092
Abstract: Carbon dioxide rise, swing and spread (seasonal fluctuations) are addressed in this study. Actual CO2 concentrations were used rather than dry values. The dry values are artificially higher because water vapor must be removed in order for the NDIR instrument to work and is not factored back into the reported numbers. Articles addressing these observations express opinions that are divergent and often conflicting. This investigation resolves many of those inconsistencies. The data were obtained from many measuring stations at various latitudes since 1972 and then graphical compared to changes in sea temperatures, fossil fuel emissions, humidity, and seasonal ice and snow changes. In analyzing the data, various parameters were addressed including: variability, R squared curve values, correlations between curves, residence times, absorption percentages, and Troposphere effects. Mass balance calculations were also made to corroborate viability. The CO2 “rise” over a 33-year period from a slight ocean temperature increase (0.7°F) contributed 2.3 percent of the total rise while fossil fuel emissions contributed 1.5 percent. The overwhelming majority (60 ppmv, 96%+) was caused by other factors including ocean and land biology as well potential errors in fundamental hypotheses. With respect to “spread” (seasonal CO2 fluctuations) at the Polar Circles, graphical analysis with high correlations supported by mass balance calculations confirm that ice and snow are the primary cause and explain why the concentrations are the highest at these cold locations. The global variations in “swing” remain uncertain.
Medication Use by Runners in Self-Care Situations  [PDF]
David A. Taylor, Catherine D. Santanello
Pharmacology & Pharmacy (PP) , 2017, DOI: 10.4236/pp.2017.88019
Abstract: The benefits of running for cardiovascular health have long been established, but no relationship between runners/non-runners and their usage of prescription and over-the-counter (OTC) medications has been established. A comprehensive survey was sent out via Facebook, Inc., to self-identified runners to assess runners’ first response to 5 common self-care situations. The results were compared to the national average of the U.S. population who take prescription and OTC medications. What was also assessed was the relationship between average weekly miles run and the likelihood to choose OTC medications. 714 runners, residing predominately in the St. Louis, Missouri metropolitan area, completed the survey and their results were drastically different than the national average use for prescription and OTC medication in the general (non-runners) population. Approximately 30% of the runners in this study are on daily prescription medications versus a national average of 70% of the U.S. population. In each of the 5 common self-care situations, less than 50% of runners chose an OTC medication as their first option for self-care vs. the national average of 80%. Results of the study also showed that runners with a weekly mile average of 30 miles or more were less likely to choose an OTC option for self-care than runners with a weekly average of 15 miles or less. Overall, results of this survey suggest that runners are less likely to take medications and may be healthier than the average U.S. citizen overall.
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