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Introduction to Data Assimilation

Introduction to Data Assimilation. Peter Jan van Leeuwen IMAU. Basic estimation theory. E{e 0 } = 0 E{e m } = 0 E{e 0 2 } = s 0 2 E{e m 2 } = s m 2 E{e 0 e m } = 0. T 0 = T + e 0. T m = T + e m. Assume a linear best estimate: T n = a T 0 + b T m with T n = T + e n

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675 views • 48 slides

Outline

Outline. Outline: Motivations Smoothing Degree of Freedom. Motivation: Why nonparametric ?. Simple Linear Regression: E(Y|X)=α+βX assume that the mean of Y is a linear function of X (+)easy in computation, description, interpretation, …etc. (-) limit of uses.

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611 views • 48 slides

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