饰带
发表于 2025-3-23 11:50:48
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烦扰
发表于 2025-3-23 17:02:06
Introduction and Preliminaries,s to be tested as well as the associated parameter estimation from observations. Then, how both these questions can be unified into a broad framework of a decision theory is discussed. These ideas will be elaborated later on and then their application to various classes of stochastic processes will
沉着
发表于 2025-3-23 21:52:10
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Watemelon
发表于 2025-3-24 01:28:01
Parameter Estimation and Asymptotics,parameters. That involves various classes of loss functions, and the study concentrates on certain desirable properties of estimators which are (known) functions of random variables. These include a detailed mathematical analysis of Bayes and maximum likelihood estimation as well as (nonlinear) pred
过度
发表于 2025-3-24 04:05:11
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accomplishment
发表于 2025-3-24 09:24:41
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戏服
发表于 2025-3-24 12:40:40
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Disk199
发表于 2025-3-24 14:55:33
Nonparametric Estimation for Processes,tral densities of a class of second order processes. After some necessary preliminaries, we discuss spectral properties of separable, especially harmonizable, processes of second order in Section 1. Then we consider an asymptotically unbiased estimator, and a related function, of the spectral distri
A简洁的
发表于 2025-3-24 22:03:21
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DAFT
发表于 2025-3-24 23:36:48
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