Harness
发表于 2025-3-25 06:56:45
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连词
发表于 2025-3-25 08:29:36
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断言
发表于 2025-3-25 13:01:43
Distributed Client/Server and Data,ental notion of an e-variable (epistemic conceptual variable) is explained, discussed, and is related to the statistical parameter concept. A quantum state is in some generality linked to a question-and-answer pair, and an experiment connected to such a question-and-answer pair is described for the
防止
发表于 2025-3-25 16:43:04
Daizhan Cheng,Xiaoming Hu,Tielong Shenfined. One can formulate a precise setting called a generalized experiment, and in this setting sufficiency and conditioning are discussed. The conditionality principle and the sufficiency principle are seen as intuitively obvious. Birnbaum’s theorem states that the likelihood principle follows from
Conducive
发表于 2025-3-25 22:43:57
https://doi.org/10.1007/978-3-030-70833-7nce as a tool for obtaining such a knowledge. I will now turn to the second area which I intend to cover in this book: Quantum theory, which I will also see as a tool for obtaining knowledge of the world. Most of this chapter does not presuppose any familiarity with the quantum formalism; my ambitio
ANA
发表于 2025-3-26 03:52:28
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注视
发表于 2025-3-26 06:30:55
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cruise
发表于 2025-3-26 08:54:49
Conclusions and Future Directionslications for daily life and daily life decisions. Starting from some general philosophical considerations, I go on and describe Hervé Zwirn’s convivial solipsism again, and in a final Section I give a fairly wide and general discussion of the process of making decisions in general. Decisions can be
Indicative
发表于 2025-3-26 16:16:29
Kurt Schlacher,Kurt ZehetleitnerA summary of statistical inference theory as it has been developed up to now, is given. Both frequentist and Bayesian inference are covered. The recent concept of confidence distributions is described. As a preparation for the next chapter, statistical inference is also seen as a special case of inference in a general epistemic process.
洞穴
发表于 2025-3-26 19:13:23
Statistical Inference,A summary of statistical inference theory as it has been developed up to now, is given. Both frequentist and Bayesian inference are covered. The recent concept of confidence distributions is described. As a preparation for the next chapter, statistical inference is also seen as a special case of inference in a general epistemic process.