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| bio | website | http://- |
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| age | ||
| visits | member for | 1 year, 1 month |
| seen | May 18 at 23:05 | |
| stats | profile views | 14 |
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Feb 8 |
comment |
How to compute the generalization error (test error) in a multivariate regression? possible duplicate you can check this stats.stackexchange.com/questions/32748/… |
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Oct 23 |
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What is the difference between estimation and prediction? İf you apply it to past e.g.a minimum-variance Kalman filter and a minimum-variance smoother may be used to recover data of interest from noisy measurements. The afore-mentioned techniques rely on one-step-ahead predictors... so, still prediction one step ahead (the future) :) |
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Oct 23 |
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What is the difference between estimation and prediction? read it complete: Prediction is simply saying something about the future. Predictions are usually focused on outcomes and not the pathway to those outcomes. |
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Oct 23 |
answered | What is the difference between estimation and prediction? |
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Oct 1 |
awarded | Teacher |
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Sep 13 |
answered | I have a very fuzzy data set, what can I do to 'smooth' it? |
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Sep 12 |
answered | How do I conduct peak detection for exponentially distributed data? |
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Jul 22 |
comment |
Multiple linear regression in MATLAB the difference between 70 observations and 70 responses is the residuals. the squared sum of the residuals are the general model error. the matlab code is just sum(resid.*resid). but note that sum squared error is just one of the ways to calculate general model error. |
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Jul 22 |
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Multiple linear regression in MATLAB You just use 70 of them and the 70 response values to calculate model error. The other 30 and the response of 30 is just for model validation errors. they are two different errors. |
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Jul 22 |
comment |
Multiple linear regression in MATLAB lets say you have 100 data points you use 70 of them for the modeling and 30 for validation. you use those 70 for calculation of model generalization error via model residuals. |
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Jul 21 |
comment |
Multiple linear regression in MATLAB how about sum(resid) or sum(resid.*resid) en.wikipedia.org/wiki/Residual_sum_of_squares |
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Jul 21 |
answered | Multiple linear regression in MATLAB |
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May 8 |
answered | Similarity measures between curves? |
