# Tagged Questions

32 views

### Probability of name collision

Question on statistics & probability: I am trying to find the best way to build a unique key. Data i have: 1) first name 2) last name 3) DOB 4) gender So, assuming those are correct fields (not ...
36 views

### Approximating a probability distribution given multiple datasets

I am beginner in mathematics/statistics and apologise in advance for my faulty use of language. I am working on a problem in statistical genetics. Given a dataset, $D$, I obtained probabilities for ...
24 views

### Fitting discrete distribution (negative binomial) for early data values

I'm having some difficulties with fitting a discrete distribution function (I'm specifically using the negative binomial distribution). Here's my setting: I have a source of incoming items, each with ...
169 views

### How do I 'reverse engineer' the standard deviation?

My problem is fairly concrete and direct. My company loves to do major business decisions based on many reports available on the media. These reports relates how our products are fairing in ...
14 views

### How do I calculate the function of an (expected) logarithmic distribution, if I know the area under the curve & one data point?

I'm trying to get the function that lets me determine the value of y, where x is an arbitrary number. In this case, I'm looking at sales charts, and I'm making the assumption that the function is ...
22 views

### “Sane” quantisation of moderate-dimensional analogue data

Warm-up problem (with solution): Suppose I have a measuring device that spits out a stream of real numbers, which I will model as i.i.d. random variables with range $\mathbb{R}$ and continuous ...
18 views

### mutual information for power low distributed data?

I have a dataset with power-low distribution, I would like to measure some kind of correlation/mutual information between the data to its class,(for feature selection task), Can I use ...
117 views

### Dividing data of a given distribution

Having a dataset with distribution $p$ (e.g. uniform or normal), if we divide the dataset into $n$ parts with equal size, is it valid to say that each part still has distribution $p$?