Prediction, projection and forecasting, Applied Statistics

Differentiate between prediction, projection and forecasting. 

Posted Date: 3/13/2013 7:37:27 AM | Location : United States







Related Discussions:- Prediction, projection and forecasting, Assignment Help, Ask Question on Prediction, projection and forecasting, Get Answer, Expert's Help, Prediction, projection and forecasting Discussions

Write discussion on Prediction, projection and forecasting
Your posts are moderated
Related Questions
Frequency distribution A frequency distribution is a series where a number of items with similar values are put in separate groups or bunches. In other words a frequency distri

Systematic Random Sampling This method  is generally used in such cases where a complete list of the population is available from which sample has to be selected. Under this

Two individuals, player 1 and player 2, are  competing in an auction to obtain a valuable object. Each player bids in a sealed envelope, without knowing the bid of the other player

Related Positional Measures Besides median, there are other measures which divide a series into equal parts. Important amongst these are quartiles, deciles and percentiles.

Stratified Random Sampling: This method of sampling is used when the population is comprised of natural subdivision of units, The method consist in classifying the population u

The 4 assumptions of regression: 1.       Variables are normally distributed 2.       Linear relationship between the independent and dependent variables 3.       Homosced

A marketing research firm was engaged by an automobile manufacturer to conduct a pilot study to examine the feasibility of using logistic regression for ascertaining the likelihood

Mid year population 440000 Late fatal death          29 No. of live birth           5200 No. of infant death      423 No. of maternal death 89 No. of infant deaths i

Statistical Process Control The variability present in manufacturing process can either be eliminated completely or minimized to the extent possible. Eliminating the variabilit

The following table shows the results of fitting a linear regression model of starting annual salaries on a constant, GPA (4 point scale), and a variable (Metrics =1) indicating wh