tackle 发表于 2025-3-28 17:10:34
https://doi.org/10.1007/978-3-322-89265-2e series, i.e. readings are taken at set times, usually equally spaced. The form of the data for a time series is, therefore, a single list of readings taken at regular intervals. It is this type of data that will concern us in this and the next chapter.不能和解 发表于 2025-3-28 19:37:04
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https://doi.org/10.1007/978-3-658-11099-4oyed (“employed” = 1, “unemployed” = 0). The regressors could include X. the average national wage rate, X. the individual’s education, X. the national unemployment rate, X. family income etc. The question arises as to how we handle models involving dichotomous dependent variables.Cabinet 发表于 2025-3-29 03:35:01
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Die Analyse des optimierten Zahlenwerkes,xample, asset prices to follow other large changes; small changes (of either sign) tend to follow small changes. In other words, the current level of volatility tends to be positively (auto) correlated with its level during the immediately preceding time periods.亚麻制品 发表于 2025-3-29 12:43:31
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Modelling Volatility in Finance and Economics: ARCH, GARCH and EGARCH Models,xample, asset prices to follow other large changes; small changes (of either sign) tend to follow small changes. In other words, the current level of volatility tends to be positively (auto) correlated with its level during the immediately preceding time periods.catagen 发表于 2025-3-30 00:15:33
Vector Autoregression (VAR) Model, endogenous. In contrast to endogenous variables, exogenous variables are considered independent. This means one variable within the formula does not directly correlate, to a change in the other, such as personal income and colour preference, or rainfall and gas prices.ARENA 发表于 2025-3-30 06:19:32
Limited Dependent Variable Models,oyed (“employed” = 1, “unemployed” = 0). The regressors could include X. the average national wage rate, X. the individual’s education, X. the national unemployment rate, X. family income etc. The question arises as to how we handle models involving dichotomous dependent variables.