到来 发表于 2025-3-21 18:47:26

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overshadow 发表于 2025-3-21 23:09:11

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alabaster 发表于 2025-3-22 03:08:57

GLS Estimation by Kalman Filtering,ix of the disturbances. Mélard (1983) provides a fast algorithm for calculating the exact likelihood function of an ARMA process based on the Kaiman filter technique as proposed by Harvey and Phillips.

食品室 发表于 2025-3-22 08:10:00

Distributed Lag Models and Correlated Disturbances,ss are considered. Besides a small-sample adjustment of the estimation procedure is suggested. In Section 6 attention is paid to the estimation of distributed lag models with several distinct explanatory variables. Finally, Section 7 is concerned with the Cramér-Rao inequality and its relationship to the Pythagorean theorem.

抚慰 发表于 2025-3-22 11:54:17

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CLOUT 发表于 2025-3-22 16:50:31

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chandel 发表于 2025-3-22 18:33:00

Introduction,les, it emerges that well-known as well as new results can be derived in a simple geometric manner, sometimes without the limiting estrictions of the usual derivations, e.g., the conditional normal distribution, the Kaiman filter equations and the Cramér-Rao inequality.

Immortal 发表于 2025-3-22 22:49:34

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insightful 发表于 2025-3-23 05:06:01

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hankering 发表于 2025-3-23 05:33:57

Paul Knottnerusvation, theory and modeling..An invaluable reference for thoImproving the reliability of long-range forecasts of natural disasters, such as severe weather, droughts and floods, in North America, South America, Africa and the Asian/Australasian monsoon regions is of vital importance to the livelihood
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查看完整版本: Titlebook: Linear Models with Correlated Disturbances; Paul Knottnerus Book 1991 Springer-Verlag Berlin Heidelberg 1991 Covariance matrix.Estimator.K