Indicates questions asking about the use and meaning of specific technical words/concepts in statistics.

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2
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0answers
13 views

What does “Borel space”, unqualified, refer to? [migrated]

For examples of use, Google "in Borel space", without the quotes. I'm thinking it means either ℝ equipped with its Borel σ-algebra, or to Borel spaces in general (that is, topological spaces with a σ-...
2
votes
1answer
46 views

What does end to end mean in deep learning methods?

I want to know what it is, and how it is any different from ensembling? suppose, I want to achieve high accuracy in classification and segmentation, for a specific task, if I use different networks, ...
2
votes
0answers
22 views

Formalism/name of a graph theory problem

I'm wondering if there's a formalism/well-known name for this graph theory problem: Given $n$ nodes on a map, find the path(s) for visiting the greatest number of nodes given a total constraint on ...
0
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0answers
18 views

Term for k-nearest neighbors of same class

Is there a term for saying that all neighbors are the same class?
3
votes
1answer
38 views

Does “Log loss” refer to Logarithmic loss or Logistic loss?

I know I've seen it both ways, so is there a difference between the two, and which one is more commonly referred to?
0
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0answers
16 views

Multidimensional constructs and interrelationship between the subdimensions

Is anyone aware of the scientific term one would use when we look at the relationship between several first order constructs that together is used to form a formative aggregated multidimensional ...
1
vote
0answers
43 views

Is there a specific name for this heavily skewed distribution?

I have a column chart that looks like this: The chart is not well labeled because of data privacy and security issues. However, I can give you some information about the data behind this chart. Let'...
1
vote
2answers
33 views

Is forecasting and predictions part of Inferential or Descriptive?

Can someone please explain to me which statistics forecasting and predictions are part of? Inferential or Descriptive? I am working on an homework. I was unable to come across the answer in my reading....
2
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0answers
20 views

What does the term data dependent kernel mean?

I was reading a paper that revisits (singled layered) Radial Basis Function networks. In they claim that they show that RBF methods can be recast as "certain data-dependent kernels". I was wondering ...
1
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0answers
25 views

What's the difference between concordance correlation and intraclass correlation?

I understand there are various formulae for calculating an intraclass correlation, and various formulae for calculating a concordance correlation. Is there something that all intraclass correlations ...
15
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2answers
1k views

What does it mean to say that an event “happens eventually”?

Consider a 1 dimensional random walk on the integers $\mathbb{Z}$ with initial state $x\in\mathbb{Z}$: \begin{equation} S_n=x+\sum^n_{i=1}\xi_i \end{equation} where the increments $\xi_i$ are I.I.D ...
1
vote
2answers
35 views

Terminology: “Classified in” or “Classified as”

I'm working on a paper where I find that it is easier to use the phrase '... classified in ...' rather than '... classified as ...'. Is this a correct usage of the word 'classified'? For example, ...
0
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0answers
13 views

Proper terminology concerning graphs based on merged data sets

Let´s say that I have a couple of data sets: ...
0
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1answer
38 views

What type of study?

I calculated inter-rater reliability for a medical test. We applied the test on both healthy people and people with a specific disease and then two raters interpreted the test. Can I call this study a ...
0
votes
0answers
9 views

Citation of a particular paper discussing the phrase “representative” sample

Some time ago (like decades?) I read a paper that gently explained why the phrase "representative sample" is an unfortunate and misleading usage, and why one should speak of random samples, perhaps in ...
0
votes
0answers
23 views

What does M in AdaBoost.M1 and AdaBoost.M2 stand for?

It is obvious that AdaBoost stands for Adaptive Boosting, but what does the M1 and M2 signify? I am not able to find its linguistic significance other than its description and algorithmic profile.
4
votes
1answer
102 views

Why are regression coefficients in a factor analysis model called “loadings”?

In this thread @ttnphns writes that Because it is regression coefficients [...] I insist that it is better to say "factor loads variable" than "variable loads factor". I learned from here that ...
1
vote
0answers
40 views

Are PLS-DA and PLS-LDA the same?

Seems like a trivial question but one for which I can't seem to find an answer. Are PLS-DA (partial least squares discriminant analysis) and PLS-LDA (partial least squares followed by linear ...
3
votes
3answers
117 views

Correct Grammatical Form for RMSE? [closed]

Which is preferred for use in journal publication: Root-Mean-Square Error or Root Mean Squared error? Root-mean-square sounds a little casual, like "ice tea" instead of "iced." On the other hand, ...
0
votes
3answers
68 views

percent describes per 100, what term is used to describe 'per one' as in probabilities [0, 1]?

I'm building a units based type for C++ which describes probabilities (using boost::units library.) While I know that the values of probabilities are dimensionless, I think it makes some sense in the ...
1
vote
0answers
12 views

Terminology: the effect when fitting with two correlated independent variables

When fitting with two correlated independent variables without regularisation, you can get two coefficients offsetting each other, eg one large positive and the other large negative. Is there a ...
1
vote
1answer
17 views

level of variable?

I was looking at this What does the level of a variable mean? I can only think of categorical variables with 2 values, like gender. Is there continuous variables with only 2 levels?
0
votes
0answers
7 views

Model name for regression with square root transformation on the response variable

Consider different transformations on the response variable. If log transformation is used: $$\log{Y} = \alpha + \beta X + \epsilon$$ The model is called log-linear model or semi-log model. My ...
3
votes
0answers
38 views

Definition of “meta-parameter” [duplicate]

What is meant by the term "meta-parameter"? Can a definition, informal and/or formal, be provided? For example, in reduced-rank regression, the rank ($r$) can be referred to as a meta-parameter of ...
1
vote
0answers
17 views

Are the terminologies of score and principal component in PCA equivalent? [duplicate]

I am confused with the terminologies of score and principal component in PCA, it seems they are equivalent but there is also some difference. Could anyone explain to me?
7
votes
1answer
417 views

What is skewness of a distribution?

What is skewness of a distribution? I ask it why any particular indices seem indecisive about symmetry, and in some case also about asymmetry.
2
votes
0answers
27 views

Why is the “sphericity assumption” in RM-ANOVA (constant variance of difference scores) called “sphericity”?

Why is the "sphericity assumption" in RM-ANOVA, i.e. the assumption of constant variance of difference scores, called "sphericity"? (This question was suggested in the comments to a related question.)...
3
votes
0answers
38 views

What is ordinary, in ordinary least squares?

A friend of mine recently asked what is so ordinary, about ordinary least squares. We did not seem to get anywhere in the discussion. We both agreed that OLS is special case of the linear model, it ...
4
votes
2answers
171 views

Does “improper” posterior or prior refer to a density function that does not integrate to 1 or to one that does not integrate to a finite value?

I am a bit confused about improper priors and posteriors. I have seen references that classify a prior or posterior probability density function as "improper" if the integral over infinite support ...
1
vote
1answer
125 views

What is the time between points called on a graph?

If I have a line graph that has a point for every day along the x axis and another graph that has a point for every month what is the name for the distance between points on the x axis? The _____ is ...
1
vote
0answers
21 views

When are observations not weakly exchangeable?

In the book "Common errors in statistics", I read the following statement Permutation tests only yield exact significance levels if the labels on the observations are weakly exchangeable under ...
2
votes
0answers
11 views

How do the terms non-stationarity, concept-drift and evolving data relate to each other?

I often see the terms non-stationarity, concept-drift and evolving data in the same context, as if they were interchangeable. Are they? Or is there some subtle nuance that I am missing?
9
votes
1answer
512 views

Why is a moment called a moment? [duplicate]

Someone told me that the term "moment" in Statistics comes from Physics. But I fail to understand how it relates to the definition of a moment of a force, which is a measure of its tendency to cause a ...
20
votes
6answers
1k views

In layman's terms what is the difference between a model and a distribution?

The answers (definitions) defined on Wikipedia are arguably a bit cryptic to those unfamiliar with higher mathematics/statistics. I am a high school student very interested in this field as a hobby ...
0
votes
1answer
10 views

Nomenclature Question on T-values and Z-scores

Do the following triplets of terms refer to the same concepts (respectively)? z-value, z-score, and z-statistic t-value, t-score, and t-statistic For example, is it the case that there is no ...
0
votes
0answers
37 views

Difference between (quantitative,qualitative) vs (discrete,continuous)

Could someone please clarify the difference between these seemingly interchangeable groups? (quantitative,qualitative) vs (discrete,continuous). Obviously they are not, but I cannot seem to pinpoint ...
1
vote
0answers
14 views

Digits that are insignificant by virtue of representing extremely small quantities within a much larger quantity: what are they called?

In computer science, sometimes we can measure run-times with high accuracy. As a hypothetical scenario, suppose a computation takes a week to run and we can measure the run-time accurate to the ...
1
vote
1answer
37 views

What is an “algebraic tail”?

The authors of this paper repeatedly use the term "algebraic tail" when describing some of the distributions they observed: ...the probability of remaining in a small, spatially confined region ...
15
votes
5answers
819 views

What's in a name: hyperparameters

So in a normal distribution, we have two parameters: mean $\mu$ and variance $\sigma^2$. In the book Pattern Recognition and Machine Learning, there suddenly appears a hyperparameter $\lambda$ in the ...
0
votes
0answers
24 views

Mixture Distribution of Multiples

Is there a specific name for a mixture distribution composed of a random variable and its multiples? Suppose we start with a "atomic" random variable $A$. I want to know what one calls the ...
1
vote
0answers
33 views

detecting the unknown canary [closed]

There is a metaphor "canary in a coal mine". The miners would keep the birds as an early warning system - if the bird suddenly died they would know something toxic was around and they could get out ...
1
vote
0answers
239 views

Testing difference between two portions of a time series with Chebyshev Theorem

I have a time series which presents two different patterns during time. These patterns are related to two different events that happen during the experiment. I can manually select the temporal ...
3
votes
4answers
198 views

Why do we say the outcome variable “is regressed on” the predictor(s)?

Is there some intuitive explanation for this terminology? Why is it this way, and not the predictor(s) being regressed on the outcome? Ideally I'm hoping that a proper explanation of why this ...
0
votes
0answers
12 views

The name for data reported by an interested party like a manager, parent, or doctor?

Can anyone help me find the right name for something? I get that we have "self-reported data", where a member of your sample is reporting their own values of a variable, but is there a name for data ...
0
votes
1answer
44 views

What is the meaning of the notation $P_\theta()$, where a probability has a subscript Greek letter?

What does theta subscript imply in e.g. this case: $$ P_\theta(T(x)=t) = 0 $$
10
votes
1answer
517 views

Why is left-skewed called negatively skewed and right-skewed called positively skewed?

I'm curious about the nomenclature: why is left-skewed called negatively skewed and right-skewed called positively skewed?
0
votes
0answers
17 views

Between high and low : name

I have a list : 1, 3, 5, 7,10. 1 is lowest and 10 is highest. Is there a term to define the numbers in between (3,5,7) All I can think about is inbetweeners
8
votes
2answers
150 views

Is bias a property of the estimator, or of particular estimates?

As an example, I often encounter students who know that Observed $R^2$ is a biased estimator of Population $R^2$. Then, when writing up their reports, they say things like: "I calculated Observed $R^...
0
votes
2answers
47 views

Terminology: Can “goodness-of-fit statistics” and “indicators” be used interchangeably?

I want to use several indicators to determine the goodness of fit of my model, such as R square, K-S, chi-square etc. What should I call them? Can I call them goodness-of-fit indicators? I see a ...
1
vote
0answers
39 views

How do you pronounce BOBYQA?

This question might seem subjective, but I ask because there is some precedent on this site. I and my colleagues have always pronounced the name of this optimizer as "bobby cue ay" (which also gives ...