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May
27 |
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revised |
Finding the distribution when the observations are dependent added mathematical formulation of the problem |
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May
20 |
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revised |
Finding the distribution when the observations are dependent more detail added to clarify |
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May
20 |
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asked | Finding the distribution when the observations are dependent |
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Mar
30 |
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awarded | Good Answer |
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Feb
10 |
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revised |
Performing a biserial correlation on SPSS v21 changed Biserial to "Point-Biserial" |
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Feb
10 |
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comment |
Performing a biserial correlation on SPSS v21 I stand corrected. What I meant was the "Point-Bieserial" correlation coefficient. |
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Feb
10 |
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answered | Performing a biserial correlation on SPSS v21 |
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Feb
2 |
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asked | PCA with "zero-spike" variables |
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Jan
31 |
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comment |
Classifying handwritten digits using PCA Why do you have to use PCA? Is this a homework problem? Please specify. Otherwise, why do you have to restrict yourself to using PCA? |
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Jan
29 |
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comment |
Coding of semi-numerical variables Thank you @whuber. As always, it's a real pleasure to read and learn from your excellent responses. Many thanks! |
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Jan
29 |
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accepted | Coding of semi-numerical variables |
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Jan
26 |
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comment |
Coding of semi-numerical variables Thank you @whuber. I always learn a lot by reading your excellent responses. I'm somewhat lost here though. I'm probably missing something, but I can't see how I can apply the situation with zero values to here. |
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Jan
25 |
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asked | Coding of semi-numerical variables |
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Jan
17 |
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awarded | Popular Question |
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Jan
13 |
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comment |
Textbooks with problem sets to prepare for predictive analytics masters @FrankHarrell, my cynical answer is that these days, the expression "Predictive Analytics" sells and sounds hot, but "Statistics" doesn't sound as hot. |
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Jan
11 |
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comment |
Question about the relationship between the variance of residuals and variances of the data points I'm afraid that doesn't clarify much. Does $x_i$ have the same meaning that @Scortchi has assumed? (which is the standard meaning, by the way) or is it something else? If it is the standard meaning, then the variance of the $x_i$ has no relevance in the regression, and if not, you have to write your regression equation in full and clarify what its elements are. |
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Jan
11 |
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comment |
Question about the relationship between the variance of residuals and variances of the data points Can you clarify your notation? What is $x_i$? In standard notation used for regression, the variance of $x_i$ is never an issue and never discussed. |
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Jan
11 |
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awarded | Citizen Patrol |
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Jan
7 |
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comment |
Sample size vs. number of samples I don't see how the sediments are important here. Aren't you counting the marbles? Are you tossing the marbles back? |
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Jan
4 |
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comment |
How to combine results of logistic regression and random forest? Actually, using the size of coefficients is not a good way to determine "variable importance" in logistic regression. Even if you look at standardized coefficients, that's not a good method. Why? Remember that the coefficients are just estimates and there's an error associated with them. Picking coefficients by size means that you pick those for which you over-estimated the coefficient size and drop those for which you under-estimated the coefficient size. |
