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Titlebook: Stochastic Visibility in Random Fields; Shelemyahu Zacks Book 1994 Springer-Verlag New York, Inc. 1994 Moment.Poisson distribution.binomia

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书目名称Stochastic Visibility in Random Fields
编辑Shelemyahu Zacks
视频video
丛书名称Lecture Notes in Statistics
图书封面Titlebook: Stochastic Visibility in Random Fields;  Shelemyahu Zacks Book 1994 Springer-Verlag New York, Inc. 1994 Moment.Poisson distribution.binomia
描述The present monograph is a comprehensive summary of the research on visibility in random fields, which I have conducted with the late Professor Micha Yadin for over ten years. This research, which resulted in several published papers and technical reports (see bibliography), was motivated by some military problems, which were brought to our attention by Mr. Pete Shugart of the US Army TRADOC Systems Analysis Activity, presently called US Army TRADOC Analysis Command. The Director ofTRASANA at the time, the late Dr. Wilbur Payne, identified the problems and encouraged the support and funding of this research by the US Army. Research contracts were first administered through the Office of Naval Research, and subsequently by the Army Research Office. We are most grateful to all involved for this support and encouragement. In 1986 I administered a three-day workshop on problem solving in the area of sto­ chastic visibility. This workshop was held at the White Sands Missile Range facility. A set of notes with some software were written for this workshop. This workshop led to the incorporation of some of the methods discussed in the present book into the Army simulation package CASTFOREM
出版日期Book 1994
关键词Moment; Poisson distribution; binomial distribution; multinomial distribution; normal distribution; proba
版次1
doihttps://doi.org/10.1007/978-1-4612-2690-1
isbn_softcover978-0-387-94412-8
isbn_ebook978-1-4612-2690-1Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag New York, Inc. 1994
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Shelemyahu Zacksocial and clinical psychology. A widely used computer-based EA paradigm compares perceivers’ ratings of targets’ feelings or affective states with the ratings of target themselves (the true ratings) and uses correlation or its monotonic transformation as a measure of EA. However, correlation has a n
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Shelemyahu Zacks, the only remaining errors are omissions. This assumption is violated in many situations, notably in the US Census 2000, where undetected erroneous enumerations were a primary reason that the post-enumeration survey (PES) results could not be used in census undercount adjustments. This paper develo
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Shelemyahu Zacksocial and clinical psychology. A widely used computer-based EA paradigm compares perceivers’ ratings of targets’ feelings or affective states with the ratings of target themselves (the true ratings) and uses correlation or its monotonic transformation as a measure of EA. However, correlation has a n
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Shelemyahu Zacks a self-sufficient attribute, the contents that one would not be favorable to see in movies or web videos. This is a challenging problem due to strong content variations among the positive instances of violence. Currently, deep neural network has shown its efficiency in various field that relevant t
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arm human life or damage the environment. There are several ways to reduce or possibly eliminate failure, according to researchers improving the development processes of SCSs reduces failure by 40%. Therefore, developers have invented many development methods and measurement techniques to reduce fai
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