cushion
发表于 2025-3-25 04:46:08
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incubus
发表于 2025-3-25 09:57:54
Examples of mixture modelsIn Section 8 we studied mixture models of the following type: {.η is a family of .-measures with a μ-density fulfilling (8.1), i.e. .(., ϑ, η) = .(., ϑ) . (.(., ϑ), ϑ,η). The observations are from a mixture ., where Γ is an unknown .-measure on (H,.).
ENACT
发表于 2025-3-25 14:25:28
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LATE
发表于 2025-3-25 18:33:20
Regenerative Cryogenic Refrigerators,s. In many cases, such e.s. are already available, and the role of the “local theory” is confined to establish their as. optimality. This is, in particular, the case if the tangent space is full, i.e. .(., .) = .(.). Then there exists one gradient only, hence any as. linear e.s. is necessarily as. efficient.
畸形
发表于 2025-3-25 20:32:40
https://doi.org/10.1007/978-3-030-16508-6m is to estimate ϑ, with τ unknown, i.e. we are dealing with the functional К,(.) = ϑ. T can be a set of functions, a set of measures, and — of course — also a subset of a Euclidean space. Thanks to this more special model, more precise instructions for the construction of estimators can be given.
魅力
发表于 2025-3-26 02:21:16
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labile
发表于 2025-3-26 07:05:36
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诽谤
发表于 2025-3-26 10:01:54
https://doi.org/10.1007/978-1-4612-3396-1DEX; boundary element method; development; distribution; eXist; estimator; function; functional; measure; med
BILK
发表于 2025-3-26 12:53:06
Power Electronics and Power Systemss known about ., then the sample mean is certainly the best estimator one can think of. If . is known to be the member of a certain parametric family, say {.}: ϑ ∈ Θ, one can usually do better by estimating ϑ first, say by ϑ.(.), and using ∫ . . .(.) (.) as an estimate for ∫ .(.). There is an “inter
勤劳
发表于 2025-3-26 18:46:01
F.S. Porter,G.V. Brown,J. Cottam a functional К. → ℝ, based on an i.i.d. sample (.,..., .), i.e. a realization from ., for some . ∈ .. The restriction to 1-dimensional functional makes the following presentation more transparent. It is justified by the fact that the problem of estimating an .-dimensional functional simply is the p