EXTOL
发表于 2025-3-23 13:27:13
https://doi.org/10.1007/978-1-4612-2554-6Estimator; Lemma; Likelihood; Variance; distribution; form; framework; information; minimum; probability; proo
orient
发表于 2025-3-23 15:42:57
Book 1995ions under consideration. In small sample and large sample theories of estimation there are well established sets of regularity conditions, and it is worth while to examine what may follow if any one of these regularity conditions fail to hold. "Non-regular estimation" literally means the theory of
简洁
发表于 2025-3-23 19:57:29
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Aviary
发表于 2025-3-24 00:35:01
Loss of Information Associated with the Order Statistics and Related Estimators in the Case of Doubr information in a single observation and that in a statistic ., respectively. Then the value of . as . → ∞, i.e. lim. (. .) is called the loss of information associated with . and its asymptotic value as . . is called the asymptotic loss of information (see, e.g. Rao (1961)).
存心
发表于 2025-3-24 04:31:57
Book 1995meaning and implications of regularity conditions, and show how the relaxation of such conditions can often lead to surprising conclusions. Their emphasis is on considering small sample results and to show how pathological examples may be considered in this broader framework.
Expiration
发表于 2025-3-24 08:43:13
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是贪求
发表于 2025-3-24 13:46:19
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Anticlimax
发表于 2025-3-24 18:21:18
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CAMP
发表于 2025-3-24 19:51:51
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仇恨
发表于 2025-3-25 00:50:59
Estimation of a Common Parameter for Pooled Samples from the Uniform Distributions and the Double Ethe interval (θ — .,. ξ.) (. 1,…, .) with different nuisance parameters which is treated as a typical example in non-regular cases. In some cases the MLE and other estimators will be compared and it will be shown that the MLE based on the pooled sample is not better for both a sample of a fixed size