01-30-2020
BillT
Fluorite | Level 6
Member since
01-04-2013
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Latest posts by BillT
Subject Views Posted 1236 01-15-2020 11:22 AM 1283 01-13-2020 07:16 PM 1410 01-11-2020 11:53 AM 541 10-30-2019 09:39 AM -
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- Posted Re: SAS function for the skellam distribution on Statistical Procedures. 01-15-2020 11:22 AM
- Posted Re: SAS function for the skellam distribution on Statistical Procedures. 01-13-2020 07:16 PM
- Got a Like for SAS function for the skellam distribution. 01-11-2020 05:00 PM
- Posted SAS function for the skellam distribution on Statistical Procedures. 01-11-2020 11:53 AM
- Posted Proc NLIN prediction limits for scored data (i.e., records with missing response values) on Statistical Procedures. 10-30-2019 09:39 AM
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Subject Likes Posted 1 01-11-2020 11:53 AM
01-15-2020
11:22 AM
to calculate the cumulative probabilities, I added a line before the 'output' statement of the skellam datastep: 'cp+p;'
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01-13-2020
07:16 PM
Thanks @FreelanceReinh. This is much appreciated!! works great. Now onto the second half..the CDF.
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01-11-2020
11:53 AM
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I am looking for a function that will calculate the CDF of the skellam distribution. I didn't find the skellam distribution in the list of available SAS CDF functions. I realize I could code it but before I do that (and then test it...!), I thought I'd ask if the function is available.
Thanks!
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10-30-2019
09:39 AM
I am using NLIN to solve an 'errors in variables' model: Y = a + b*x using iteratively weighted least squares regression where the weights are calculated as in York et al., 2004. The raw data for the response and explanatory variables are not available; we have the mean and the standard errors for each record. The equation used to calculate the weights includes the standard errors for Y and X, as also the include the slope parameter (b). I am only using NLIN because of the need for iteration. The solution from NLIN has been verified.
I have two questions about scoring data that are not used to estimate the model. We have used the 'missing values trick' to produce predictions for records with missing values for the response, as well as confidence limits for the predictions. (https://blogs.sas.com/content/iml/2014/02/17/the-missing-value-trick-for-scoring-a-regression-model.html) We have not been able to get SAS to produce prediction limits. In addition to my request for help in producing the prediction limits, I also would like to know how SAS produces the predictions and their confidence limits. The SAS documentation indicates the leverage and weights are used to produce the limits however, the scored data do not include weights or leverage values. https://documentation.sas.com/?docsetId=statug&docsetTarget=statug_nlin_details34.htm&docsetVersion=15.1&locale=en
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