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0 votes
1 answer
68 views

Method of moments for the Logarithmic/Log-Series distribution

I'm looking for some more insights in applying the method of moments for the Logaritmic (or also called Log-Series) distribution. The Logarithmic distribution only has one distribution parameter $0 &...
Steven01123581321's user avatar
0 votes
0 answers
245 views

How to adjust for lognormal distribution in linear regression when dependent variable is a ratio?

I am working on a model that uses a dependent variable (Damage ratio) that is a ratio composed of two other variables (Flood damage / market value). One of those variables follows lognormal ...
tookja's user avatar
  • 53
0 votes
0 answers
117 views

Does Benford's Law Actually Work?

Recently, I have been reading about Benford's Law :https://en.wikipedia.org/wiki/Benford%27s_law This law supposedly states that naturally occurring numbers are more likely to start with the number &...
stats_noob's user avatar
1 vote
0 answers
39 views

Why if a random variable is power law distributed I should consider ln N (with ζ=1) in place of sqrt(N)?

In this paper I don't get Preposition 2. In particular firm size can be described as: $$ \DeclareMathOperator{\E}{\mathbb{E}} dS_{it}=0S_{it}+\sigma S_{it}\; dW_{it} $$ or according to the paper $...
Barbab's user avatar
  • 333
0 votes
0 answers
296 views

Uniform distribution in a logarithmic/isolethargic binning

Assume a variable $x$ follows a uniform distribution i.e. $P(x)-=const$. In my case this is constant background as shown in the following figure with the green curve This is a distribution with a ...
Thanos's user avatar
  • 121
0 votes
1 answer
491 views

Expectation of log skew normal distribution

What is the expected value and expected variance of a log skew normal distribution? In case I have the terminology wrong, I'm referring to data that is lognormal with some skew mild skew when it's log ...
J Doe's user avatar
  • 372
44 votes
4 answers
21k views

Why are log probabilities useful?

Probabilities of a random variable's observations are in the range $[0,1]$, whereas log probabilities transform them to the log scale. What then is the corresponding range of log probabilities, i.e. ...
develarist's user avatar
  • 4,025
7 votes
1 answer
1k views

What is the expected value of x log(x) of the gamma distribution?

Let $w(x) = x \log{x}$ $x \sim Gamma(\alpha = 3.7, \lambda = 1)$ Find $E[w(x)]$ I have set up the following integral: $\int_0^{\infty} x\log{x} \frac{\lambda^{\alpha}}{\Gamma(\alpha)} x^{\alpha -1}...
jbpib27's user avatar
  • 73
1 vote
1 answer
264 views

skew normal computation

I want to compute probabilities assuming data have log skew normal distribution (in R). As I couldn't find any package that directly computes log skew normal (as plnorm does log normal), I am ...
ZAD's user avatar
  • 41
3 votes
1 answer
149 views

Is there a name for the distribution whose PDF is -ln(x) on its support [0, 1)?

If so, what is its name? If not, how/where can information about it be found?
Stephane Bersier's user avatar
3 votes
1 answer
2k views

Training the learning model on the log transformed data? [duplicate]

So I've gone through this CV post, and in my primitive understanding I assume we do log transformation when we 'care' about relative changes and also to even out the positive skweness from our data. ...
Nuhman's user avatar
  • 175
3 votes
0 answers
574 views

Expectation of the log of a ratio of two lognormal random variables with additive constants

I have two independent lognormal random variables $X$ and $Y$ with known means and variances. I would like to know the expected value and the variance of $\ln\big((X+1)/(Y+1)\big)$. If there is no ...
A.Mc's user avatar
  • 41
0 votes
0 answers
413 views

Skewness of a non-linear distribution

Suppose, it is stated that $X$ is a random variable which has a symmetric distribution. Now, let us consider $Y$ to be a random variable which has a distribution given by : $Y = g(X)$, where '$g$' is ...
Dwaipayan Gupta's user avatar
5 votes
1 answer
259 views

Find the distribution of $ N = \min \left\{k: \prod_{i = 1}^{k}U_i \lt .6\right\}. $

I'm cross-posting this from math.SE because it's not getting any love over there. However, if that's considered heresy, I can delete the posting over there. The Statement of the Problem: Let $ \{ ...
thisisourconcerndude's user avatar
243 votes
4 answers
374k views

When (and why) should you take the log of a distribution (of numbers)?

Say I have some historical data e.g., past stock prices, airline ticket price fluctuations, past financial data of the company... Now someone (or some formula) comes along and says "let's take/use ...
PhD's user avatar
  • 14.8k

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