Questions tagged [terminology]
Usage and meaning of specific technical words/concepts in statistics.
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Does this type of visualization have a name? And what are its drawbacks, if any?
While reading through social media, I came across this chart from The Wall Street Journal, showing the part of the "Epstein emails" mentioning Donald Trump over time (2008-2019). I'm ...
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Does "grand mean" properly refer to the mean of subsample means, or the mean of the whole sample?
For example, if I have one subsample with the scores (1, 2), and another subsample with the scores (1, 2, 3), is the grand mean 1.75 or 1.8?
I would think "grand mean" would mean "mean ...
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Is a perfectly fit model considered a saturated model?
I'm learning about saturated models. From this answer, a saturated model is one that has as many parameters as data points, and therefore fits the data perfectly.
What I understand, this means $f(x_i) ...
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What is the name for a hypothesis that won't be tested unless other hypotheses are supported
I am writing a research proposal for the OSF (Open Science Framework). I want to make it as clear as possible. I don't know what to call one of my hypotheses (dependent? conditional? something else?).
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Keywords for: 'train ML model with data from one city and then make predictions for another'?
I need to find articles in which the authors trained machine learning model(s) with data from one geographical place, and, afterwards, applied the trained model on data about another geographical ...
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What is difference between nowcasting and forecasting?
Recently I crossed to this Github Repo trying Benchmarking econometric using ML models in nowcasting GDP (see the paper).
Q1: What is difference between nowcasting and forecasting over time data in ...
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Why use nomograms when we have computers?
In the recent years, I've increasingly seen nomograms being used (published). I don't understand what is their advantage over specifying the model numerically - at least not in an age where everyone ...
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Naming of logistic and probit regression
"Logistic regression" is named after the inverse of the link function.
"Probit regression" is named after the link function.
I find it confusing.
While, according to Wikipedia, &...
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About the name of an ubiquitous assumption in statistics
Suppose that we have generated (through a computer program or experiment) independently $n$ numbers $x_1,\cdots,x_n\in\mathbb{R}$ that follows a distribution $F$. In this case, in order to do ...
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Definitions of pivotal quantity and statistic [duplicate]
I'm having trouble understanding the distinction between pivotal quantities and ancillary statistics.
In my understanding, a statistic is any (measurable function) of the sample.
Wikipedia states more ...
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Randomization Terminology: Simple randomization vs Complete Randomization
I noticed conflicting terminology around different ways to randomize participants into treatment groups in an experiment.
The first randomization procedure of interest is the scenario where treatment $...
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name for -2 log L?
While differences between models in deviance ($-2 (\log L_s - \log L)$, where $L$ is the likelihood of a model/set of parameters and $L_s$ is the likelihood of the saturated model) are the same as ...
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Is sigma or finite sum allowed in a closed-form or analytic expression?
My machine learning assigment gave me two distributions and asks whether the MLE of the parameters can be solved analytically, and if not provide a gradient descent update rule for the parameter. The ...
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In psychometrics, why is h² an abbreviation for communality? What is the "h" an abbreviation for?
This isn't a typical question on this site, but I don't know where else to ask it. In psychometrics, more specifically in factor analysis, the communalities ("common variances" of manifest ...
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What is the accepted name for a proportional ordinal model with a probit link?
I'm working with an ordinal regression model where the response variable is ordinal and the effect of predictors is assumed to be constant (i.e., the parallel or proportional regression assumption ...
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