# Tagged Questions

The error of an observed value is the deviation of the observed value from the (unobservable) true function value. Do NOT use this tag for SOFTWARE ERROR messages.

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### What is the RMSE normalized by the mean observed value called?

I have been using the Root Mean Squared Error (RMSE) to measure the accuracy of values predicted using a model. I understand that the value returned is using the ...
208 views

### How do I handle measurement error in sparse data?

Under-educated non-statistician seeks short-term relationship for very one-sided benefit. System in question involves rocks and physical properties. Modelling bits of the earth typically means few ...
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### Cross entropy and the fitness function

I'm training some neural networks using NEAT C++, and would like to use the cross-entropy error function: $$E = -t\ln(y) -(1-t)\ln(1-y)$$ to train a network for a two-class classification problem. ...
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### Mathematically manipulating error resources

Hate asking such a general question, but I'm so unfamiliar with statistics in general that I don't know what to search or where to find the answer. I'd like to learn how to manipulate errors. Like, ...
357 views

### Combining experimental error in a mean

I understand the rules for combining experimental errors in sums, differences and ratios (as explained here), but what happens to an experimental error when you average it? Say, ruler measurements of ...
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### Which type of statistical information will need Error Bar charts for presentation?

When presenting statistical information using bar charts, when will you need to use Error Bar charts?
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### What is this measure of error?

I'm reading through someone else's code for plotting the results of a psychology experiment, and (according to the code comments) they calculate the accuracy error of their behavioral paradigm as ...
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### How to correct uneven sampling distribution when calculating the mean?

Suppose I have a function f, and I want to sample it at 100 points in the interval [0, 100]. For some reason (that seemed smart ...
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### Data Augmentation Examples

I am looking for applied references to data augmentation (preferably with some written code). Either online references are books would be great. I found this book online: ...
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### Is this the correct way to calculate $MSE$ from $SS_{\text{treatment(s)}}$, $df_{\text{treatment(s)}}$, $F$?

As described in a few of my previous questions (here and there), I am interested in deriving summary statistics from statistics reported in the literature. I would very much appreciate any advice ...
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### Repeatability and measurement error from and between observers

I have 3 observers that each take 2 measurements (length and weight) on 100 individuals; these procedures are repeated once (i.e., the same measurements are taken on the same 100 individuals by the ...
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### Managing error with GPS routes (theoretical framework?)

I'm looking for the appropriate theoretical framework or speciality to help me deal with understanding how to deal with the errors that the GPS system has - especially when dealing with routes. ...
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### James-Stein shrinkage 'in the wild'?

I am taken by the idea of James-Stein shrinkage (i.e. that a nonlinear function of a single observation of a vector of possibly independent normals can be a better estimator of the means of the random ...
11k views

### What do the residuals in a logistic regression mean?

In answering this question John Christie suggested that the fit of logistic regression models should be assessed by evaluating the residuals. I'm familiar with how to interpret residuals in OLS, they ...
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### How do I calculate the SE for PPV, NPV, and DOR?

I am attempting to calculate the standard error (SE) for the positive predictive value (PPV), negative predictive value (NPV), and diagnostic odds ratio (DOR) that I have obtained using the rates of ...