Approximations to the Bayes estimate for a quantal assay with simple exponential tolerance distribution
Approximations to Bayes estimate for quantal assay with simple exponential tolerance distribution
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Approximations to Bayes estimate for quantal assay with simple exponential tolerance distribution
Geomagnetic bays produced by neutral sheet plasma earthward movement resulting from solar wind enlargement of geomagnetic tail
Kalman filter set for state vector and observation error variance estimation in discrete- time linear system, using empirical Bayes techniques
Air pollution monitoring and pollutant source surveillance system, and effective regulations and enforcement means for San Francisco Bay area
Service life testing and reliability estimation, using ordinary and empirical Bayes approach in failure model with gamma probability distribution
Linear dynamic systems state estimation, using empirical Bayes decision theory to develop filter set
Optimal zero-memory regulator for linear system with stochastic jump parameters, considering Bayes and minimax controllers
A study of the effect of pollutants on the sea nettle population of Chesapeake Bay was conducted. The effects of pollutants on the polyp stage of the nettle were stressed. Methods of detecting adult sea nettles by remote sensing are discussed. The effects of phosphate, nitrate, ammonium, and combinations of these pollutants were investigated.
The nine-county San Francisco Bay area is examined in two time periods (1975-1980 and 1985-1990) as a scenario for analyzing the characteristics of an intraurban, commuter-oriented aircraft transportation system. Aircraft have dominated the long-haul passenger market for some time, but efforts to penetrate the very-short-haul intraurban market have met with only token success. Yet, the characteristics of an aircraft transportation system-speed and flexibility-are very much needed to solve the transportation ills of our major urban areas. This study attempts to determine if the aircraft can contribute toward solving the transportation problems of major metropolitan areas and be economically viable in such an environment.
Progress made in the development of a technique for identifying and delinating benthic and shoreline communities using multispectral imagery is described. Images were collected with a multispectral scanner system mounted in a C-47 aircraft. Concurrent with the overflight, ecological ground- and sea-truth information was collected at 19 sites in the bay and on the shore. Preliminary processing of the scanner imagery with a CDC 1604 digital computer provided the optimum channels for discernment among different underwater and coastal objects. Automatic mapping of the benthic plants by multiband imagery and the mapping of isotherms and hydrodynamic parameters by digital model can become an effective predictive ecological tool when coupled together. Using the two systems, it appears possible to predict conditions that could adversely affect the benthic communities. With the advent of the ERTS satellites and space platforms, imagery data could be obtained which, when used in conjunction with water-level and meteorological data, would provide for continuous ecological monitoring.
The nine-county San Francisco Bay area is examined in two time periods (1975-1980 and 1985-1990) as a scenario for analyzing the characteristics of an intraurban, commuter-oriented aircraft transportation system. Aircraft have dominated the long-haul passenger market for some time, but efforts to penetrate the very-short-haul intraurban market have met with only token success. Yet, the characteristics of an aircraft transportation system, speed and flexibility, are very much needed to solve the transportation ills of our major urban areas. The aircraft intraurban system is a technically feasible alternative to ground transportation systems. Although requiring some subsidy, it becomes socially viable where substantial commuter traffic exists at ranges of 10 to 15 mi or more and where topographic features constrain ground travel. The general problem areas of community noise, air traffic congestion, ground transportation interface, pollution, and safety appear to have workable solutions.
Proceedings of conference on remote sensing of resources contained in Chesapeake Bay to determine effects of environmental pollution
A smooth empirical Bayes estimator was developed for estimating the unknown random scale component of each of a set of observation error variances. It is shown that the estimator possesses a smaller average squared error loss than other estimators for a discrete time linear system.
The application of a two dimensional mathematical model to the analysis of the thermal discharge to verify its ability to predict the temperature distribution of Trinity Bay in the vicinity of the water outfall. Basic data consist of aerial thermal infrared and in situ measurements.
Shoreline depositions of Chesapeake Bay
ERTS multispectral imagery for suspensate surveying in Chesapeake Bay estuarine waters
Comparison of multispectral imagery and aerial surveys of Massachusetts bays
Detection of turbidity dynamics in Tampa Bay, Florida using multispectral imagery from ERTS-1