Covariance or Fisher Information Matrix for Competing Mixture Models
Is there a way to find the covariance or Fisher information matrix for competing mixture models when using the Lifetime Distribution Platform? Thank you!
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view all learning resourcesIs there a way to find the covariance or Fisher information matrix for competing mixture models when using the Lifetime Distribution Platform? Thank you!
Hi, I have downloaded an excel file from https://www.nrel.gov/transportation/assets/docs/battery-failure-databank-revision1-oct30.xlsxI want to import the third sheet in JMP, but some of the columns are not imported (e.g. the column Test-Series).(Removing the data filters in the excel file didn't help.)I guess I could copy+paste the missing columns into JMP, but maybe there is a better way?
How can I stack 3D plots as in the graph below? There are 4 3D plots on the same graph (one z axis, same x and y axes). Each plot is a surface of the z-data plotted against x and y. Z may be a formula instead of raw data. Haven't been able to find any posts specific to this. A script is okay. Hoping for an easy answer to share with a new JMP user.
I noticed the summary function did not category the row correctly when the table is huge this week.I have one column (e.g. col A) containing very long characters. I try to see how many unique rows per the content of col A. JMP did generate a summary table without any error messages. To my surprise, the sub-table per the summary table still contains some unique rows. Anyone knows why?
In PLS data is standardized by default. For decision tree analysis its not.Are there any situations when it is recommended to use standardized input data?Br// PTR
I noticed the summary function did not category the row correctly when the table is huge this week.I have one column (e.g. col A) containing very long characters. I try to see how many unique rows per the content of col A. JMP did generate a summary table without any error messages. To my surprise, the sub-table per the summary table still contains some unique rows. Anyone knows why?
In PLS data is standardized by default. For decision tree analysis its not.Are there any situations when it is recommended to use standardized input data?Br// PTR
Hello, I would like to question what is the best way to insert ratios in JMP. It seems to me that 52:48 and 53:47 and so on doesn't quite work for conclusive data analysis... The purpose is to use them for correlation coefficient calculations. Thank you in advance!Helena
From what I can tell the Indicator Function Parameterization output is for when you have categorical predictors in your model. I actually never even knew about this output window until recently, and in my regression analyses have always simply used the p values and coefficients from the main parameter estimate window. I recently conducted a model that contained 1 continuous IV, and 2 binary IVs a...
I have used the alternative cut-off probability confusion matrix add-in many times. Suddenly it is producing nonsensical results on some data sets. I verified that it still works as expected on an old data set. Attached is one of the recent data sets in which it does not appear to be working. The target variable is Stroke and I have a Validation column and a number of prediction model probabil...
dale_lehman
Dear JMP Community, (W10, 64-bit, JMP Pro 15.2.1) I am running a model to assess the active predictors. I am doing this by using the Autovalidation add-in to generate a Null Factor for my data. I then use the GenReg platform to find estimates for each possible X-factor and then Bootstrap those estimates to get a better assessment of the contributions to the response. I came across a very stran...
Hello, I'm attempting to build an application in application builder. I have two modules currently. The first module is a series of number edit boxes and lists that allow the user to input values and make selections.After pushing a button, the inputs and/or list selections update table variables in a data table that subsequently updates column equations. The data table opens in the background so ...
How do I get a whole model significance test when conducting a generalized regression using the negative binomial distribution? I can get the individual effect significance tests, but I do not see where I can get the whole model significance.
Using JMP 12.x, I noticed that: tablebox() <<sort by column does sort the column fine, but it does not seem to preserve any existing cell coloring post row sort. Is there any way to force it to preserve the existing cell colors post row sorting?
thanks, DJ
I'm using the neural platform to calculate a model that makes predictions from some observed data and want to compare the performance of that model to other models (not from JMP). To compare the different models, I want to compare the observed data and the predictions from the different models.The R2 is not a good measure because it checks for any linear relationship between the observed and predi...
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