Forecasting Confidence Intervals: Sensitivity Respecting Panel-Data Point-Value Replacement Protocols

Forecasting ICT development through quantile confidence intervals☆

Normal Distribution, "p" Value and Confidence Intervals.

W data is col lected, in order to make sense of it, the data needs to be organised in a manner which shows the various values and the frequencies at which these values have occurred, that is the “pattern that the values form after they are organised” and this is called a distribution. A distribution guides how raw data can be converted into meaningful information and also influences the choice ...

Forecasting with spatial panel data

Forecasting with Spatial Panel Data This paper compares various forecasts using panel data with spatial error correlation. The true data generating process is assumed to be a simple error component regression model with spatial remainder disturbances of the autoregressive or moving average type. The best linear unbiased predictor is compared with other forecasts ignoring spatial correlation, or...

Calculating unreported confidence intervals for paired data

BACKGROUND Confidence intervals (or associated standard errors) facilitate assessment of the practical importance of the findings of a health study, and their incorporation into a meta-analysis. For paired design studies, these items are often not reported. Since the descriptive statistics for such studies are usually presented in the same way as for unpaired designs, direct computation of the ...

Confidence Intervals for Current Status Data

The likelihood ratio statistic for testing pointwise hypotheses about the survival time distribution in the current status model can be inverted to yield confidence intervals. One advantage of this procedure is that confidence intervals can be formed without estimating the unknown parameters that figure in the asymptotic distribution of the MLE of the distribution function. We discuss the likel...