Questions tagged [coefficient-of-variation]
A measure of dispersion expressed relative to the mean, used for positive variables. Equals the standard deviation divided by the mean.
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Apportionment of variation
I have a dataset of hundereds of thousands of websites (categorical) with their CO2 emissions per request (quantitative) along with the data centre they're hosted in (categorical), and whether those ...
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Combining Variation and Uncertainty from Replicate measurements
I have 3 measurements from 3 independent experiments {m_1, m_2, m_3}.
I have another 3 measurements that are used to scale the m measurements {n_1, n_2, n_3} from the same experiment (different from m)...
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Sample size and coefficient of variation [closed]
I would like to know a relationship between sample size and coefficient of variation (CV). CV is defined as the ratio of the standard deviation to the mean. Could we say "smaller sample size ...
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Is Coefficient of Variation a valid measure of relative efficiency?
I'm wondering if it is always valid to use Coefficient of Variation (CV) to determine relative efficiency of parameter estimators, and to compute statistically equivalent sample sizes based on that ...
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How small coefficient of variation should be accepted for dependent variable and how does it affect linear regression?
I was wondering what happens to a linear regression model if the coefficient of variation of $Y$ variable is small. Also, what is considered as "too small CV"? What is the minimal accepted ...
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How to compare two distributions of Coefficients of Variation?
For my master's thesis (machine learning) I am studying the effect of using a certain type of classifier on the stability of feature importance techniques (SHAP & LIME) under different levels of ...
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what will be the coefficient of variation?
Suppose, Average rate of return on stock = -10%,
Standard deviation on return = 30%
What will be the coefficient of variation (CV) on this case?
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Discrepancy Between Theoretical and Empirical Coefficient of Variation in Log-Normal Distribution
I'm exploring the properties of log-normal distributions and came across a formula (e.g., here) stating that the coefficient of variation (CV) of a variable $X$ following a log-normal distribution is $...
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How to compare metrices in terms of RELATIVE bootstrap confidence interval
Situation: We are assessing several metrices to compare two distributions (e.g. ttest-pvalue, Wasserstein distance, binary classification metrices like ROC-AUC, etc.). One criteria should be the "...
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Hazard ratios - one unit increase for a continuous variable measuring diversity (Blau index/ coefficient of variation), how to interpret?
I am having difficulty understanding how to interpret a one-unit increase/decrease for continuous variables in a Cox model.
Specifically, I have created the variables gender, age & nationality ...
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Coefficient of variation from independent estimates and multivariate normal
I'm estimating the coefficients of variation (CV) for features in a dataset. Each of the features is well represented by a normal distribution. I've done the estimate in two ways, both using bayesian ...
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How to deal with duplicates with high coefficients of variation
I am working with raw data from a multiplex Luminex assay ( not by commercial kit); I have found that some duplicates have a high %CV. I would like to know if you can advise me on dealing with this ...
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How to find the relative dispersion of a list of numbers over a number in it?
In the game of chess a white advantage is defined as a positive number, a black advantage is a negative number, an equal position is 0.
A chess engine displays a list of the n best variations of a ...
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Am I misapplying coefficient of variation?
I'm working with proteomics data in python, and I want to implement an abundance cutoff as described by K. Podwojski, et al (short section attached below). My goal is to quantify the difference in ...
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How to report performance of a Deep Learning Model (RMSE, R2) when lots of variation
please bear with me because I'm a beginner. I have created an LSTM Model to solve a regression problem. The metrics that I am reporting are RMSE, MAE and R2. Unfortunately, my model might not be ...
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