I am currently working on a project that requires some statistic knowledge which I have very little. I was wondering if somebody can help me by guiding me on the right direction. I have several statistical books but I am not sure where to start reading. I am including a short description of this project. Any help/guide/reference that you can give me will be deeply appreciated.
Thank you very much ------- I have a database where I keep the daily circulation quantity of a small local newspaper by zip code. Ex. Zip code Circulation Date 33131 56 1/1/2002 33131 45 1/2/2002 33131 53 1/3/2002 33131 51 1/4/2002 33131 48 1/4/2002 . . . 33131 85 12/27/03 33131 70 12/28/03 33131 45 12/29/03 33131 31 12/30/03 33131 51 12/31/03 33131 105 1/1/04 . . 33131 21 1/15/04 We want to be able to do projections based on this data. For example, Lets say we would like to know the circulation quantity in April 7, 2004 in zip code 33131. The problem is that there are factors that we need to take in consideration: One factor is the day of the week (weekday). For example, Sunday's circulation is usually higher than Tuesday and Friday is higher than Monday. Another factor is the week of the year. For example, thanksgiving week circulation is higher because people want all the coupons inside the newspaper to go shopping. The next factor is the month of the year. For example, in August a lot of people go on vacation therefore circulation is lower than January. In November we have a lot of people that come down here to Miami from up north because of the weather so circulation is a lot higher. Another factor is the day of the year. For example, Election Day or when the president delivers the State of the Union address at the end of January. What exactly do you think I should read to be able to get a close estimate of our circulation in the future? Thanks again . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
