DIGN 发表于 2025-3-21 19:35:59
书目名称Response Models for Detection of Change影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0828690<br><br> <br><br>书目名称Response Models for Detection of Change影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0828690<br><br> <br><br>书目名称Response Models for Detection of Change网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0828690<br><br> <br><br>书目名称Response Models for Detection of Change网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0828690<br><br> <br><br>书目名称Response Models for Detection of Change被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0828690<br><br> <br><br>书目名称Response Models for Detection of Change被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0828690<br><br> <br><br>书目名称Response Models for Detection of Change年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0828690<br><br> <br><br>书目名称Response Models for Detection of Change年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0828690<br><br> <br><br>书目名称Response Models for Detection of Change读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0828690<br><br> <br><br>书目名称Response Models for Detection of Change读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0828690<br><br> <br><br>legitimate 发表于 2025-3-21 22:50:49
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The Optimal Policy,rtion of the remainder of this book, in no way exhaust the possible formulations of a wide variety of detection of change processes. But they are simple and tractable, yet sufficiently general to account for a number of two-state detection of change processes and to serve as first order approximatio浅滩 发表于 2025-3-22 08:29:00
A Response Model with a Fixed Probability Boundary, Given the problem parameters α, .(.), ., and ., the value of ϒ* (or ϒ*) may be obtained numerically together with the minimum expected loss .(.) (or .(.)). The optimal policy may then be tested with data collected in detection of change experiments, as done in Chapter 8. If the major purpose of suc植物学 发表于 2025-3-22 10:55:20
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A Response Model with a Fixed Number of Successive Observations,especially if the DM does not keep a record of the values of the observations already taken or if the observation intervals are very short. This, for example, is the case in the psychophysical experiment to be discussed in Chapter 8. To reduce the DM’s cognitive load, or perhaps better account for t创新 发表于 2025-3-22 18:29:02
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Extensions, loosely characterized as follows. A DM observes a sequence oi random variables .(.):. є ., where .(.) denotes the random variable observed at time . and . є . It is assumed that .(.) has a known distribution function .(.), which depends on the unknown state at time . Additionally, it is assumed tha