Explain intervention analysis in time series, Advanced Statistics

Intervention analysis in time series: The extension of the autoregressive integrated moving average models applied to time series permitting for the study of the magnitude and structure of the changes in the series created by some form of the intervention. An instance is assessing how efficient is the preventive programme to reduce monthly number of accidents.

Posted Date: 7/30/2012 12:43:40 AM | Location : United States

Related Discussions:- Explain intervention analysis in time series, Assignment Help, Ask Question on Explain intervention analysis in time series, Get Answer, Expert's Help, Explain intervention analysis in time series Discussions

Write discussion on Explain intervention analysis in time series
Your posts are moderated
Related Questions
Back-projection: A term most often applied to the procedure for reconstructing plausible HIV incidence curves from the AIDS incidence data. The method or technique assumes that th

How to estimate MLE for statistical anslysis using Markov Model?

Chapter 7 2. Describe the distribution of sample means (shape, expected value, and standard error) for samples of n =36 selected from a population with a mean of ยต = 100 and a sta

Average age at death : A ?awed statistic summarizing expectancy of the life and other aspects of the mortality. For instance, a study comparing average age at the death for male sy

The function of a variable t which, when extended formally as a power series in t, yields factorial moments as the coefficients of the respective powers. If the P(t) is probability

This is an attempt to measure the suffering caused by the illness which takes into the account both the years of the potential life lost due to the premature mortality as well as t

Biplots: It is the multivariate analogue of the scatter plots, which estimates the multivariate distribution of the sample in a few dimensions, typically two and superimpose on th

How large would the sample need to be if we are to pick a 95% confidence level sample: (i) From a population of 70; (ii) From a population of 450; (iii) From a population of 1000;

This term sometimes used to describe the extra factor in variance of the sample mean when n sample values are drawn without the replacement from the finite population of size N. Th