Questions tagged [logarithm]
The logarithm of a number is the power to which the base must be raised to get the number.
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Are there any theoretic or computational criteria to apply log transformation on a sample dataset?
I am developing an R shiny app that contains more than 1,000 variables as choices for the user. It plots a choropleth map and an histogram. However for many of those, the visual information is ...
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How to find the equation on a log-log scale plot (in R)?
I have plotted about 40 000 polygons (topographic depression dataset data) according to their area and volume (see plot below) by the code below:
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Log specification in regression model
I'm working with a basic linear regression model, and I have a question about the specification of the predictor. Consider this basic regression model:
\begin{equation}
g_{i,t} = \alpha + \beta_1 \ln(...
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interpretation of loglog regression
It is common econometric disciplines to model an baseline + incremental quantity due to treatment. E.g baseline sales + incremental sales(due to marketing).
It is common to deploy loglog models to ...
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Can you do a log transformation for excess kurtosis, or is that mainly used for skewness?
I am planning on doing a regression analysis on STATA on the financial performance of private equity funds. On my descriptive statistics, I saw higher levels of kurtosis and skewness. I decreased ...
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How can I back transform the residuals of a decomposed time series , where I used log(x+c) transformation on the original data?
I did a time series decomposition on a series of Twitter activity data into trend, seasonal and residual component. I checked the distribution of the residuals when fitting a linear model to the time ...
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Reducing Variance in Estimating the Exponential Average of Random Variables
Imagine we have a random variable called X, and the function form of the probability density for X is unknown. Now, I'm interested in finding the average value of the exponential of X, denoted as E[...
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GLM with log link vs linear regression with logarithmic transformation parameter estimation
I am trying to calculate the parameter estimates of GLM with log link and normal distribution and the linear regression with logarithmic transformation. For the first I get the total derivative of the ...
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Log Transforming variables already in percentage [duplicate]
I'm running a regression analysis and I'd like to know if log transforming a percentage value is ok. My y-values are already in percentages and my x-values in absolute numbers. But I'd like to know by ...
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Should I use log transformation on Target Encoding values to avoid heteroscedasticity?
The dataset I'm working with contains categorical variables with several classes. To do its pre-processing I chose to use Target Encoder.
With numerical variables I used MinMaxScaler. When training ...
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How do I interpret an independent variable which is a log(%)? [duplicate]
My linear regression is:
School's average test score ~ log(%FSM)
%FSM = the percentage of pupils at the school who are eligible for free school meals (an indicator of low socio-economic status).
The ...
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Interpreting linear mixed effect model results with log transformed dependent variable and log transformed predictor w/ normal predictors as well
I have a linear mixed effect model that I built using longitudinal country level data to help me predict TB incidence based on country level diabetes prevalence, HIV incidence, prevalence of ...
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What does it mean if both log-log and semi log y transforms both linearise my data
I am running some least squares linear regression on nonlinear data. I considered linearising by taking the log of both the IV's and DV and also by only taking the log of the DV.
Both linearise the ...
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How to use partial correlation on compositional (counts) data? (e.g., as described in Erb et al. 2020)
I've read through this paper: https://www.sciencedirect.com/science/article/pii/S2590197420300082
Which introduced me to the concept of partial correlation. I typically use Proportionality when ...
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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 &...
