About Yazdan

Yazdan · ‎04-17-2017

Thank you for your response. I also have another problem. Please consider my example: I have a table for the number of incidents occurred in two-hour blocks (Ex. 0-2, 2-4, etc). The data for each block recorded over 4 years and it is heavily inflated with zeros. So I have a table like: Day [0-2] [2-4] [4-6] ....... [10-0] Match 1 0 1 1 ....... 13 March 2 1 2 0 ........ 2 . . . . March 30 0 10 0 2 How can I compare the proportion of the number of attacks occurred during different time blocks in March? Please give me a hand in coding as well. Thank you! Yazdan

Yazdan · ‎04-17-2017

I also have same problem. Please consider my example: I have a table for the number of incidents occurred in two-hour blocks (Ex. 0-2, 2-4, etc). The data for each block recorded over 4 years and it is heavily inflated with zeros. So I have a table like: Day [0-2] [2-4] [4-6] ....... [10-0] Match 1 0 1 1 ....... 13 March 2 1 2 0 ........ 2 . . . . March 30 0 10 0 2 How can I compare the proportion of the number of attacks occurred during different time blocks in March? Please give me a hand in coding as well. Thank you! Yazdan

Yazdan · ‎04-13-2017

Hi all, I have a problem with the dbI'm working on. I want to compare the mean value of two variable. I can't use t-test since the variables are highly zero-inflated. The variables represent the number of security breaches over different time blocks that were recorded over a period of 4 years (Ex. Variable X1 and X2 represent the number of security breaches occurred in (7pm-9pm) & (10pm-12pm) blocks). I want to compare the mean value of these variables. I think I can't use Chi-square proportion test as well since most of the recorded data have the value of <5. In addition, these variables suffer from overdispersion problem, as well (Ex. Mean=8.36 & Variance=331.66). What should I do in this case? Thank you! Regards, Yazdan

Yazdan · ‎03-01-2017

Hello all, I'm using "hpclus" process for clustering but I don't know "B", in this process, stands for what? And how should I set this value? I could just find that this number represents the number of Monte Carlo draws but I don't which value of this parameter is the best one for my analysis. I put part of my code here: proc hpclus data=ios maxclusters=8 maxiter=100 seed=54321 NOC=ABC(B=25 minclusters=3 align=PCA); score out=outscore; input Dos Execute_Code Overflow Obtain_Information Gain_Previledges Bypass_a_Restriction Directory_Traversal Cross_Site_Scripting CSRF Memory_Curruption; id cve_id; ods output ABCStats=ABC; run; Thank you! Yazdan

Yazdan · ‎07-22-2016

Hello all, I wrote the following code to fit a NHPP on my data. The problem is while it gives me the parameters and their relative errors, it does not provide a fitting error, like Anderson Darling. I want to see how far my fitted model is from the general data (e.g. mean square error). I want to know which model, power-law or log-linear, provides a better fit. I need your help, ASAP. Thank you! code: proc reliability data=app1; title 'Apple-Dataset'; unitid id; distribution nhpp(pow); model time*day(-1); mcfplot time*day(-1) / fit=model noconf; run; Regards, Yazdan

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Date Last Visited	‎04-19-2017 10:34 AM

Re: How to compare proportions of zero-inflated variables?

Re: Test for Difference in Proportions - T Test? Proc GLM?

How to compare proportions of zero-inflated variables?

Proc hpclus (B stands for what?)

Fitting NHPP-Lack of fitting statistics

Re: How to compare proportions of zero-inflated variables?

Re: Fitting NHPP-Lack of fitting statistics

Re: How to compare proportions of zero-inflated variables?

Re: Test for Difference in Proportions - T Test? Proc GLM?

How to compare proportions of zero-inflated variables?

Proc hpclus (B stands for what?)

Fitting NHPP-Lack of fitting statistics