GLIB
发表于 2025-3-23 09:53:16
Gesellschaft für Wärmewirtschaftscience” (Kuhn 1970), extensions of previous material (Chapters 1, 2, 3, 4, 5, 6, 7 and 8). Then we take a chance (Sections 9.4 and 9.5) and look on paradigm changes in climate data analysis that may be effected by virtue of strongly increased computing power (and storage capacity). Whether this tec
Simulate
发表于 2025-3-23 14:42:49
https://doi.org/10.1007/978-90-481-9482-7AR(1); Atmospheric; Bootstrap; Frequency analysis; Regression; Resampling; Scale; Time series; Weather; corre
消灭
发表于 2025-3-23 18:35:17
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指令
发表于 2025-3-23 22:36:42
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爱好
发表于 2025-3-24 04:24:37
Inhalt und Ziel des Reklametextes,The correlation measures how strong a coupling is between the noise components of two processes, ..(.) and ..(.). Using a bivariate time series sample, ., this measure allows to study the relationship between two climate variables, each described by its own climate equation (Eq. 1.2).
SCORE
发表于 2025-3-24 10:19:56
Regression IRegression is a method to estimate the trend in the climate equation (Eq. 1.1). Assume that outlier data do not exist or have already been removed by the assistance of an extreme value analysis (Chapter 6). Then the climate equation is a regression equation
吼叫
发表于 2025-3-24 12:27:17
CorrelationThe correlation measures how strong a coupling is between the noise components of two processes, ..(.) and ..(.). Using a bivariate time series sample, ., this measure allows to study the relationship between two climate variables, each described by its own climate equation (Eq. 1.2).
Generator
发表于 2025-3-24 15:56:51
Climate Time Series Analysis978-90-481-9482-7Series ISSN 1383-8601 Series E-ISSN 2215-162X
COMA
发表于 2025-3-24 19:50:34
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Ancillary
发表于 2025-3-25 02:11:53
Fettschmierung und Schmierfette,e—the risk of climate extremes—is of high socioeconomical relevance. In the context of climate change, it is important to move from stationary to nonstationary (time-dependent) models: with climate changes also risk changes may be associated.