False-Negative 发表于 2025-3-21 17:55:45

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松软无力 发表于 2025-3-21 23:06:59

Book 1985l for a realistic model. Therefore we found it natural to search for more general models. The mathematical problems involved were the origin of my interest in this field. A brief outline of the background, purpose and content of this paper is given in section 1. It is a pleasure to thank Gunnar Engl

暗语 发表于 2025-3-22 01:06:08

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外观 发表于 2025-3-22 06:30:58

Lecture Notes in Statisticshttp://image.papertrans.cn/s/image/878028.jpg

负担 发表于 2025-3-22 10:47:50

https://doi.org/10.1007/978-1-4612-1094-8Air; Markov model; Variance; Variation; atmosphere

Bureaucracy 发表于 2025-3-22 15:16:12

Some Basic Probability,Var(X) or All basic random variables, considered in this paper, will be non-negative, i.e. Pr{X < 0} =0. Assume now that X is non-negative. Its survivor function G. is defined by.and we have the relation

Alcove 发表于 2025-3-22 17:08:42

The Gibbs and Slinn Approximation,s section is to consider their approximation in some detail. Note that λ(t) and Q(t) are now allowed to be dependent. Recall that c(t), λ(t) and Q(t) are related by c’(t)=Q(t)-λ(t)c(t). From this relation we get

Tremor 发表于 2025-3-22 21:21:43

,Approximations for “Long-Lived” Particles, t}. We shall now state the precise formulations of the approximations holding when a → 0. In order to do this we need some technical assumptions. The parameter α is always choosen such that 1 < α ≤ 2.

Concerto 发表于 2025-3-23 03:31:37

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Insatiable 发表于 2025-3-23 09:16:50

Residence Times and Mean Concentrations,The residence time T of a single particle is the time spent in the atmosphere of that particle. From the definitions in section 3 it follows that
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查看完整版本: Titlebook: Stochastic Models of Air Pollutant Concentration; Jan Grandell Book 1985 Springer-Verlag Berlin Heidelberg 1985 Air.Markov model.Variance.