Xem 1-5 trên 5 kết quả Analytical judgment
  • This volume pulls together and republishes, with some editing, updating, and additions, articles written during 1978-86 for internal use within the CIA Directorate of Intelligence. Four of the articles also appeared in the Intelligence Community journal Studies in Intelligence during that time frame. The information is relatively timeless and still relevant to the never-ending quest for better analysis. The articles are based on reviewing cognitive psychology literature concerning how people process information to make judgments on incomplete and ambiguous information.

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  • In an increasingly complex world, decision analysis has a major role to play in helping decision makers to gain a greater understanding of the problems they face. The main aim of this book is to make decision analysis accessible to its largest group of potential users: managers and administrators in business and public sector organizations, most of whom, although expert at their work, are not mathematicians or statisticians.

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  • The committee was tasked to determine the best instrumentation and procedures for measuring BFD (see Box S-1). To do this, it reviewed technical specifications, viewed demonstrations of the operation and use of current and prospective systems, and evaluated factors such as human handling variability, process transparency, and software variability judgment. The committee found that given the current clay variation, a measurement precision (standard deviation) of 0.5 mm is sufficient; instruments featuring greater precision add little practical value to the testing process.

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  • Data of unknown quality are useless! All laboratory measurements contain experimental error. It is necessary to determine the magnitude of the accuracy and reliability in your measurements. Then you can make a judgment about their usefulness. Replicates - two or more determinations on the same sample Example 3-1: One student measures Fe (III) concentrations six times. The results are listed below: 19.4, 19.5, 19. 6, 19.8, 20.1, 20.3 ppm (parts per million) 6 replicates = 6 measurements The "middle" or "central" value for a group of results: Mean: average or arithmetic mean ...

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  • The method’s performance characteristics should be based on the intended use of the method. It is not always necessary to validate all analytical parameters that are available for a specific technique. For example, if the method is to be used for qualitative trace level analysis, there is no need to test and validate the method’s limit of quantitation, or the linearity, over the full dynamic range of the equipment. Initial parameters should be chosen according to the analyst’s experience and best judgment.

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