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1 vote
0 answers
20 views

Applying Tangent Lines to Log-Scaled Data for Outlier Detection: Seeking Statistical Theories and Models

I've analyzed the view counts for a YouTube channel's videos (just for example), sorting them by views (on the left) and drawing a tangent line to approximate the central trend on a logarithmic scale (...
Andrew Anderson's user avatar
1 vote
1 answer
142 views

Absolute deviation from the mean using logarithms

I am calculating the absolute deviation from the mean of a strictly positive set $\{x_1, x_2, \ldots, x_n\}$ like: $$\left| x_i - \bar X\right|$$ My analysis makes it appropriate to work in logs ...
AllDoe_1's user avatar
1 vote
1 answer
86 views

Does the P value need to be "back- transformed" after logging one variable in Regression analyse?

I have a data series, sediment concentration in water Vs Time. The data is not normal but I want to use regression and so have logged the sediment concentration (log10(x)). The residual and fit to ...
Rose's user avatar
  • 11
0 votes
1 answer
50 views

Should i make correlation matrix of (1) first difference logarithm, (2) logarithm or (3) the natural numbers?

I am currently working on a project where I am looking at how prices are affected by changes in the exchange rates. For an example, I want to see how a change in my currency (Norwegian Kroner) affects ...
schix's user avatar
  • 1
4 votes
1 answer
198 views

Coefficient of variation of log-Gamma distribution

If I have a Gamma distributed random variable $y$: \begin{equation} y \sim Gamma(\alpha, \beta) \end{equation} which has coefficient of variation $\frac{1}{\sqrt{\alpha}}$, then what would be the ...
user_15's user avatar
  • 185
2 votes
2 answers
3k views

Getting the variance of $X$ from $Var(\ln(X))$

I've a multiplicative model for which $Y = X*Z$, for which $Y$ and $Z$ is known. I want this model to be additive (therefore using logarithms) to figure out the variance of $X$. I have $$ln(Y) = ln(X) ...
Srick's user avatar
  • 23
1 vote
1 answer
392 views

Converting log standard deviation in terms of the original units

We run regression specifications of the form, lm(outcome_log_s ~ x1_s + x1_x^2) In which the outcome variable is logged and standardized. We want to be able to ...
Parseltongue's user avatar
  • 1,030
1 vote
2 answers
4k views

Should I convert the number after log transformation back to the original for calculating RMSE?

When I built the model, I applied the log transformation to all variables including the dependent variables. Now, I'm calculating the RMSE for the evaluation, and the result is in the log format, ...
Fangyuan's user avatar
  • 137
0 votes
0 answers
861 views

Back-Transformation for Ln(X+1) of zero rich data

I have seen and read several similar questions, but mine pertains specifically to zero rich data. I will be back transforming my data based on a first order Taylor series approximation. As outlined ...
NicoFish's user avatar
0 votes
1 answer
971 views

A different proof for KL divergence non-negativity

KL divergence's non-negativity can be proved in many ways. One could use the inequality $\log x \leq x - 1$ as a main step in the proof, another one could leverage the property of concave of the ...
ComSicial's user avatar
1 vote
1 answer
161 views

Control for over-dispersion. Why do this: take natural log of metric, exponentiate, rank, remove top and bottom 10%

I'm looking at some NHS healthcare data on the number of deaths in England The measure i'm looking at is called the SHMI - it's simply: The number of observed deaths at a hospital / The expected ...
SuperSecretAndNotSafeFromWork's user avatar
0 votes
1 answer
33 views

Need some enlightment about how log affects the mean of the data?

So, I have some data regarding the views by videos on youtube. I took the log of the data and compared the mean of both variables. Why did the categories change so much when log was applied (first ...
Victor Rabêllo's user avatar
4 votes
1 answer
575 views

Unbiased estimators of the log odds

In the book of Lehmann and Casella (2003) page 83, a random variable $X$ is distributed according to the binomial distribution $Bin(n,p)$, $n$ the number of trials and $p$ the success probability. ...
Chamberlain Mbah's user avatar
1 vote
1 answer
702 views

How do you call: Ln(Xt/Xt-1)? [closed]

What is the best word/ phrase of describing the following: Ln(Xt/Xt-1)? Is that: A: natural log of differences? B: natural log of growth rates? C: Something else?? The reason I need to know ...
Robbert's user avatar
  • 33
2 votes
0 answers
153 views

How to compare the marginal variation of two groups with a big difference frequency between them?

I have two different groups (A) and (B) and I would like to compare the marginal variation of the frequency for each time of both groups but, each one of them has a different frequency for a given ...
Luis P.'s user avatar
  • 761

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