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Sharethram Hariharan (Shareth)
  • Male
  • Stillwater, OK
  • United States
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Hello, I am not sure if this is the right place to ask this question but I am currently working on Supply chain Disruption Management. Specifically, I would like to model the impact of very low frequency but high impact events analytically - Not in…
May 24, 2009
don't quite understand why you need to do this at least not for the dependant variable. Obviously, for the independant variables, we need to account for missing values so as not to reduce our dataset to something that is irrelevant for the exercise.…
May 20, 2009
yes i need to include records where the dependant variable are missing.
April 28, 2009
My question to you is whether or not you want to include records in your analytical file where the target or dependant variable values are missing??
April 28, 2009
The data on which we need to build a model itself has about 6500 missing values in the target variable.There are only 120 non missing values in the target variable. Can we do something like this?? Use a model (Say Model A) to predict the the missing…
April 28, 2009
To answer the question, you need ton know the actual physical mechanism that lead to the data being missing. Since you are changing the data, you need to know what the data means in the first place. Let me give a few examples. -- The data is a medi…
April 26, 2009
in this case the structural missing values mean the target is not supposed to have values for the particular row. If event A happens then only event B (target) occurs which is similar to conditional probability .Based on the combination of input var…
April 26, 2009
Good point, Bill. It could easily be censored observations. Any solution depends on why the target is missing in the first place.
April 26, 2009
Okay, this sounds like a classic case of censored observations. There is a regression technique called a Tobit model that is specifically geared towards this type of problem. SAS and a few other packages incorporate the ability to model this type of…
April 26, 2009
What do you mean by 'weird predicted values'? If you're got 120 non-missing targets and are scoring 5500 cases, then even if the distributions are identical the larger sample will have cases that are much farther from the mean that the smaller samp…
April 26, 2009
Think about what you are doing for a second. You are talking about building a model on the 120 cases, scoring the other 90% of the cases, and then (I presume) building a model on the full data set. What you'll get back is the original model with ab…
April 26, 2009
Can you explain a little about why the values are missing? There are different procedures that can be used to handle this if the values are missing at random, but if they are not missing at random then that complicates the situation. Also, I'd stro…
April 26, 2009
hi, I would need a little bit of information before trying to help- what do you mean by "structurally missing"- That phrase is very important as some people use it incorrectly. The following link has some guidelines (but please note that they are n…
April 25, 2009
April 13, 2009
Hi Arup, I guess I would atleast have to do the data analysis part and use the "modeling" itself to be a very insignificant perecentage of my report. We already know that data prep is most important in data mining but I dont have any other choice r…
April 13, 2009
hi Shareth, im wondering if over 90% of the data for the target variable is missing, should we go forward with this analysis?
April 13, 2009

Profile Information

Short Bio:
Ph.d student in Industrial engineering and Management, focus is on supply chain risk modeling and mitigation., areas of interest: Operations Management including the interface of marketing and operations, inventory management, Data Mining/Predictive Analytics, Applied Optimization, Simulation and Game Theory....would like to work in the industry as a consultant and probably move to academia and consult part-time later on...
Field of Expertise:
Operations Research, SAS, Other
Years of Experience in Analytical Role:
1
Professional Status:
Student
Interests:
Finding a New Position, Networking, New Venture, Other
Your Company:
Oklahoma State University
Industry:
Supply Chain and Operations Management
How did you find out about AnalyticBridge?
google

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At 10:53am on April 7, 2009, Yi-Chun Tsai said…
Hi, Sharethram:
It is nice to be friend with you. So, you are a PhD student in IE. How far have you been in your PhD study now? You seem to have used SAS Enterprise Miner before but I am wondering where do you get access from? When I was a student or even I am working full time now, I still don't have access to SAS EM.
 
 

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