A distribution is a mathematical description of *probabilities* or *frequencies.*

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What is intuition behind beta distribution?

Disclaimer: I'm not statistician but rather software engineer. Most of my knowledge in statistics comes from self-education, thus I still have many gaps in understanding concepts that may seem trivial ...
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6answers
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In linear regression, when is it appropriate to use the log of an independent variable instead of the actual values?

Am I looking for a better behaved distribution for the independent variable in question, or to reduce the effect of outliers, or something else?
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6answers
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Motivation for Kolmogorov distance between distributions

There are many ways to measure how similar two probability distributions are. Among methods which are popular (in different circles) are: the Kolmogorov distance: the sup-distance between the ...
25
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3answers
3k views

A Probability distribution value exceeding 1 is OK?

On the Wikipedia page about naive bayes classifiers here there is this line "P(height|male) = 1.5789 (A probability distribution over 1 is OK. It is the area under the bell curve that is equal to 1.)" ...
21
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7answers
4k views

What is normality?

In many different statistical methods there is an "assumption of normality". What is "normality" and how do I know if there is normality?
21
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5answers
10k views

How to identify a bimodal distribution?

I understand that once we plot the values as a chart, we can identify a bimodal distribution by observing the twin-peaks, but how does one find it programmatically? (I am looking for an algorithm.)
20
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5answers
3k views

Understanding “variance” intuitively

What is the cleanest, easiest way to explain someone the concept of variance? What does it intuitively mean? If one is to explain this to their mom or child how would one go about it? It's a concept ...
19
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5answers
757 views

Fake uniform random numbers: More evenly distributed than true uniform data

I'm looking for a way to generate random numbers that appear to be uniform distributed -- and every test will show them to be uniform -- except that they are more evenly distributed than true uniform ...
19
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2answers
794 views

What's so 'moment' about 'moments' of a probability distribution?

I KNOW what moments are and how to calculate them and how to use the moment generating function for getting higher order moments. Yes, I know the math. Now that I need to get my statistics knowledge ...
19
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2answers
881 views

Does the distribution $\log(1 + x^{-2}) / 2\pi$ have a name?

I ran across this density the other day. Has someone given this a name? $f(x) = \log(1 + x^{-2}) / 2\pi$ The density is infinite at the origin and it also has fat tails. I saw it used as a prior ...
17
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8answers
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How can I efficiently model the sum of Bernoulli random variables?

I am modeling a random variable ($Y$) which is the sum of some ~15-40k independent Bernoulli random variables ($X_i$), each with a different success probability ($p_i$). Formally, $Y=\sum X_i$ where ...
17
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5answers
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If the t-test and the ANOVA for two groups are equivalent, why aren't their assumptions equivalent?

I'm sure I've got this completely wrapped round my head, but I just can't figure it out. The t-test compares two normal distributions using the Z distribution. That's why there's an assumption of ...
17
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2answers
944 views

Distributions other than the normal where mean and variance are independent

I was wondering if there are any distributions besides the normal where the mean and variance are independent of each other (or in other words, where the variance is not a function of the mean).
17
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1answer
978 views

For which distributions are the parameterizations in BUGS and R different?

I have found some distributions for which BUGS and R have different parameterizations: Normal, log-Normal, and Weibull. For each of these, I gather that the second parameter used by R needs to be ...
16
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9answers
1k views

How do I figure out what kind of distribution represents this data on ping response times?

i've sampled a real world process, network ping times. The "round-trip-time" is measured in milliseconds. Results are plotted in a histogram: Ping times have a minimum value, but a long upper tail. ...
16
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2answers
2k views

Understanding the parameters inside the Negative Binomial Distribution

I was trying to fit my data into various models and figured out that the fitdistr function from library MASS of ...
16
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2answers
462 views

Can we see shape of normal curve somewhere in nature?

I do not want to know if some phenomena in nature have normal distribution, but whether we can somewhere see shape of normal curve as we can see it for example in Galton box. See this figure from ...
15
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3answers
361 views

How to sample from $c^a d^{a-1} / \Gamma(a)$?

I want to sample according to a density $$ f(a) \propto \frac{c^a d^{a-1}}{\Gamma(a)} 1_{(1,\infty)}(a) $$ where $c$ and $d$ are strictly positive. (Motivation: This could be useful for Gibbs ...
15
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1answer
2k views

Empirical Relationship Between Mean, Median and Mode

For a unimodal distribution which is moderately skewed, we have the following empirical relationship between mean, mode and median: (Mean-Mode) ~ 3(Mean-Median) Could someone please explain how the ...
14
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4answers
903 views

What are good data visualization techniques to compare distributions?

I am writing my PhD thesis and I've realized that I rely excessively in box plots in order to compare distributions. Which other alternatives do you like for achieving this task? I'd also like to ask ...
14
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3answers
716 views

Weakly informative prior distributions for scale parameters

I have been using log normal distributions as prior distributions for scale parameters (for normal distributions, t distributions etc.) when I have a rough idea about what the scale should be, but ...
13
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2answers
620 views

Can two random variables have the same distribution, yet be almost surely different?

Is it possible that two random variables have the same distribution and yet they are almost surely different?
13
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8answers
9k views

How can I test if given samples are taken from a Poisson distribution?

I know of normality tests, but how do I test for "Poisson-ness"? I have sample of ~1000 non-negative integers, which I suspect are taken from a Poisson distribution, and I would like to test that.
13
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2answers
382 views

How to know which probability distribution to expect?

Currently I am analyzing social networks (not virtual) and I am observing the connections between people. If a person would choose another person to connect with randomly, the number of connections ...
12
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2answers
296 views

Which distributions have closed-form solutions for maximum likelihood estimation?

Which distributions have closed-form solutions for the maximum likelihood estimates of the parameters from a sample of independent observations?
12
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3answers
527 views

Can somebody offer an example of a unimodal distribution which has a skewness of zero but which is not symmetrical?

In May 2010 Wikipedia user Mcorazao added a sentence to the skewness article that "A zero value indicates that the values are relatively evenly distributed on both sides of the mean, typically but not ...
12
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5answers
569 views

Comparing the variance of paired observations

I have $N$ paired observations ($X_i$, $Y_i$) drawn from a common unknown distribution, which has finite first and second moments, and is symmetric around the mean. Let $\sigma_X$ the standard ...
11
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3answers
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Are there default functions for discrete uniform distributions in R?

Most standard distributions in R have a family of commands - pdf/pmf, cdf/cmf, quantile, random deviates (for example- dnorm, pnorm, qnorm, rnorm). I know it's easy enough to make use of some ...
11
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8answers
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Can the standard deviation of non-negative data exceed the mean?

I have some triangulated 3D meshes. The statistics for the triangle areas are: Min 0.000 Max 2341.141 Mean 56.317 Std dev 98.720 So, does it mean anything particularly useful about the standard ...
11
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4answers
676 views

Analysing wind data with R

Hi i am analaysing wind data for estimating energy from a wind turbine. I have taken 10 years of wind data and graphed a histogram; my second stage was to fit a Weibull distribution to the data. I ...
11
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2answers
723 views

Why does the supremum of the Brownian bridge have the Kolmogorov–Smirnov distribution?

The Kolmogorov–Smirnov distribution is known from the Kolmogorov–Smirnov test. However, it is also the distribution of the supremum of the Brownian bridge. Since this is far from obvious (to me), I ...
11
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3answers
963 views

Moments of a distribution - any use for partial or higher moments?

It is usual to use second, third and fourth moments of a distribution to describe certain properties. Do partial moments or moments higher than the fourth describe any useful properties of a ...
11
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1answer
12k views

What is the difference between the Shapiro-Wilk test of normality and the Kolmogorov-Smirnov test of normality?

What is the difference between the Shapiro-Wilk test of normality and the Kolmogorov-Smirnov test of normality? When will results from these two methods differ?
11
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1answer
168 views

Deriving Negentropy. Getting stuck

So, this question is somewhat involved but I have painstakingly tried to make it as straight-forward as possible. Goal: Long story short, there is a derivation of negentropy that does not involve ...
11
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1answer
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Kullback–Leibler vs Kolmogorov-Smirnov distance

I can see that there are a lot of formal differences between Kullback–Leibler vs Kolmogorov-Smirnov distance measures. However, both are used to measure the distance between distributions. Is there ...
11
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1answer
259 views

Is centering needed when bootstrapping the sample mean?

When reading about how to approximate the distribution of the sample mean I came across the nonparametric bootstrap method. Apparently one can approximate the distribution of $\bar{X}_n-\mu$ by the ...
10
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3answers
374 views

Testing data against a known distribution

I asked a question similar to this a while ago, and the general answer was "your question is too vague". So let me try again with a little more detail... I have written a program which generates ...
10
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2answers
3k views

How to calculate Zipf's law coefficient from a set of top frequencies?

I have several query frequencies, and I need to estimate the coefficient of Zipf's law. These are the top frequencies: ...
10
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1answer
324 views

What is the community's take on the Fourth Quadrant?

Nassim Taleb, of Black Swan fame (or infamy), has elaborated on the concept and developed what he calls "a map of the limits of Statistics". His basic argument is that there is one kind of decision ...
10
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1answer
779 views

What is the real answer to the Birthday question?

"How large must a class be to make the probability of finding two people with the same birthday at least 50%?" I have 360 friends on facebook, and, as expected, the distribution of their birthdays is ...
10
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5answers
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Assessing the significance of differences in distributions

I have two groups of data. Each with a different distribution of multiple variables. I'm trying to determine if these two groups' distributions are different in a statistically significant way. I ...
10
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2answers
241 views

What's the name of this discrete distribution (recursive difference equation) I derived?

I came across this distribution in a computer game and wanted to learn more about its behaviour. It comes from the decision as to whether a certain event should occur after a given number of player ...
10
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3answers
227 views

Dealing with 0,1 values in a beta regression

I have some data in [0,1] which I would like to analyze with a beta regression. Of course something needs to be done to accommodate the 0,1 values. I dislike modifying data to fit a model. also I ...
10
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1answer
387 views

What are the pros and cons of learning about a distribution algorithmically (simulations) versus mathematically?

What are the pros and cons of learning about a distribution's properties algorithmically (via computer simulations) versus mathematically? It seems like computer simulations can be an alternative ...
10
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3answers
414 views

What are the distributions on the positive k-dimensional quadrant with parametrizable covariance matrix?

Following zzk's question on his problem with negative simulations, I am wondering what are the parametrized families of distributions on the positive k-dimensional quadrant, $\mathbb{R}_+^k$ for which ...
10
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1answer
476 views

Maximum likelihood estimators for a truncated distribution

Consider $N$ independent samples $S$ obtained from a random variable $X$ that is assumed to follow a truncated distribution (e.g. a truncated normal distribution) of known (finite) minimum and maximum ...
10
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2answers
389 views

How to scale violin plots for comparisons?

I'm trying to draw violin plots and wondering if there is an accepted best practice for scaling them across groups. Here are three options I've tried using the R ...
10
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1answer
90 views

Long-tailed distribution of time events

Suppose you have the logs of a web server. In these logs you have tuples of this kind: ...
9
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5answers
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How to perform a test using R to see if data follows normal distribution

I have a data set with following structure: a word | number of occurrence of a word in a document | a document id How can I perform a test for normal ...
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7answers
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What are some alternatives to a boxplot?

I am working on creating a website, which displays the census data for a user selected Polygons & would like to graphically show the distribution of various parameters (one graph per parameter). ...

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