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The GEE Procedure
The GEE Procedure

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... As we saw in Chapter 9, ARMA models are used to model the conditional expectation of a process given the past, but in an ARMA model the conditional variance given the past is constant. What does this mean for, say, modeling stock returns? Suppose we have noticed that recent daily returns have been u ...
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... The road to completing this thesis was not easy at times and I am grateful for the people who helped me along the way. I would like to thank Dr. Scotland Leman for entertaining my ideas and providing encouragement throughout all aspects of my research. I would like to thank Dr. Leanna House for teac ...
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... Note that for the file name no suffix is needed; as Orange checks if any files in the current directory are of the readable type. The call to Orange.data.Table creates an object called data that holds your data set and information about the lenses domain: >>> data.domain.attributes (DiscreteVariable ...
< 1 2 3 4 5 6 ... 76 >

Forecasting

Forecasting is the process of making predictions of the future based on past and present data and analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods. Usage can differ between areas of application: for example, in hydrology, the terms ""forecast"" and ""forecasting"" are sometimes reserved for estimates of values at certain specific future times, while the term ""prediction"" is used for more general estimates, such as the number of times floods will occur over a long period.Risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts. In any case, the data must be up to date in order for the forecast to be as accurate as possible.
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