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

learn more… | top users | synonyms (1)

0
votes
2answers
63 views

In statistical terminology, what is the opposite of “peak”?

When we see a curve (or a normal distribution), we describe the highest value as "peak". Let's imagine we have a curve with only a minimum value (like an inverted hat), what do we call that minimum ...
2
votes
2answers
46 views

What is calibration?

What does it mean to calibrate survey weights? Also, what are other definitions of calibration in statistics? I have heard it used in several contexts, particularly risk prediction (referring to ...
1
vote
1answer
13 views

Alternate terms, or definition for functional logistic regression

I have recently come upon a paper discussing "functional logistic regression." I could not find literature related to functional logistic regression. Is there a different name for this kind of ...
2
votes
2answers
44 views

What's the name for a distribution of the form $10^D$, where $D$ is a known distribution?

In my particular case, I'm generating uniformly random numbers and using them as the power to a base-10 exponent, e.g. in R: s <- 10^runif(10, 1, 10) Is there ...
3
votes
1answer
71 views

naming convention: what does GLM stand for?

I encountered the term "Global Linear Model" which has the same abbreviation as "Generalized Linear Model". Since I couldn't find useful information on the former, my question is whether the two ...
2
votes
1answer
48 views

What is a “principal component factor analysis”?

I am currently researching silence in the social sciences and am reviewing surveys and statistical methods implemented by researchers to get an idea methods in both survey design and the analysis ...
1
vote
0answers
15 views

Very puzzling - naming the endpoint of survival analysis

A question that should be straightforward for statisticians but is puzzling me to the point I am nervous. I am doing a PhD in Epidemiology and am going to use Cox regression. The predictor is a ...
3
votes
1answer
52 views

Odds or Odds Ratio terminology?

I am having a bit of a tough time with some logistic regression terminology. I have performed a multivariable logistic regression analysis where I have regressed a binary variable (death, where 1 = ...
0
votes
1answer
13 views

In the context of ANNs, is there multi-task learning iff the network has more than 1 output?

This is a terminology question: in the context of artificial neural networks, does multi-task learning occur iff the network has more than 1 output?
2
votes
1answer
19 views

The name of 'Fused' Lasso

As many of you know, the Fused Lasso is one of well known penalized methods, which is introduced by Tibshirani, 2005. However, I don't get to the meaning of how it is called. Could anyone give any ...
4
votes
1answer
72 views

What are “unrotated” and “rotated” principal components, given that PCA always rotates the coordinates axes?

As far as I understand, principal components are obtained by rotating the coordinate axes to align them with the directions of maximum variance. Nevertheless, I keep reading about "unrotated ...
1
vote
2answers
42 views

Observed Vs Unobserved Variables [duplicate]

Can anyone explain the difference between observed variables and unobserved variables (preferably in plain English ) ?
0
votes
2answers
28 views

What is the name of subject for testing which distribution the set of data follows?

What is the name of subject for testing which distribution the set of data follows? I become frustrated since I am a beginner in this area.
0
votes
1answer
30 views

What is the subject of statistics called if the subject is used to studying if the statistic formulated fit the actual data?

What is the subject of statistics called if the subject is used to studying if the statistic formulated fit the actual data? If there are more than one general subject to study this, name all of ...
0
votes
1answer
13 views

Correct terminology: Can I use the term “unknown/s a priori”?

I am trying to solve a regularized least square problem which has two regularization constants: muT, muS. Further, my solution also needs underlying B1-error (MRI terminology) estimation and then ...
5
votes
1answer
135 views

Bar plots with variable bases (intensive and extensive variables at once)

Is there a particular name for bar plots, in which bars are rectangular, with unequal bases? That is: width represents size (e.g. population), height represents intensive variable (e.g. CO$_2$ ...
2
votes
0answers
39 views

Difference between “computational statistics” and “statistical computing”?

From Handbook of computational Statistics by Gentle et al, We use the term “statistical computing” to refer to the computational methods that enable statistical methods. Statistical computing ...
6
votes
2answers
33 views

Prior distribution on/of a parameter

Is it correct to write the prior distribution on $\mu$ ? I think it is correct because it refers to the fact that "we put a distribution on (the state space of) $\mu$". However, I would not say the ...
0
votes
1answer
22 views

Correct notation for unbiased estimate of population variance

I've seen the notation $s^2$, ${s}_{n}^2$, and ${s}_{n-1}^2$ used to represent the unbiased estimate of population variance. Is there a standard notation?
2
votes
1answer
36 views

difference between trial and observation

What's the difference between a trial and an observation? My sense is that an observation is a measurement of a variable for a single trial. Is this correct?
1
vote
0answers
45 views

4-point Likert scale

I have compiled a questionnaire using a glossary of terms. I have 4 options that people can select. The terms are; I don't understand the word and I can't define it / I understand it but I never use ...
5
votes
1answer
38 views

What is the term for the product of a probability and its complement?

The odds of an event is the quotient of the probability of the event $A$ and its complement; i.e. $p/(1-p)$, if $p = P(A)$. Is there a name for this term: $p(1-p)$? (Also sometimes appearing as ...
1
vote
1answer
12 views

Name of error measure based on top |positives| results

I am evaluating a retrieval algorithm. I remember that I read about an error measure which basically entails the quotient of the number of true positives in the top $N_p$ results, where $N_p$ is the ...
1
vote
0answers
36 views

Is there a name for the $n=50$ quantiles?

For $n = 5, 10, 20, 100$ we have quintiles, deciles, vigintiles, and percentiles. Is there a name for $n = 50$? A candidate would be quinquagintiles, but I can't find that having being used.
1
vote
1answer
52 views

Is structural equation modeling (SEM) just another name of confirmatory factor analysis (CFA)?

I am reading some material about structural equation modeling. I found it to be extremely similar to confirmatory factor analysis - modeling a construct as the linear combination of several other ...
22
votes
3answers
2k views

Why are there two spellings of “heteroskedastic” or “heteroscedastic”?

I frequently see both the spellings "heteroskedastic" and "heteroscedastic", and similarly for "homoscedastic" and "homoskedastic". There seems to be no difference in meaning between the "c" and the ...
1
vote
1answer
43 views

Multifactorial analysis of variance with repeated measurements-literature

What is the difference between multivariate and multifactor ANOVA? Does anybody have any pointers to downloadable literature about multifactorial analysis of variance with repeated measurements?
20
votes
2answers
744 views

Does this discrete distribution have a name?

Does this discrete distribution have a name? For $i \in 1...N$ $f(i) = \frac{1}{N} \sum_{j = i}^N \frac{1}{j}$ I came across this distribution from the following: I have a list of $N$ items ranked ...
0
votes
0answers
13 views

Terminology for comparing anwers to a set of reference questions

I´m conducting a questionnaire in order to examine the behavior of drivers of electric vehicles when providing information, such as parking time, to a charging station. For several reasons it is ...
1
vote
0answers
24 views

How to call extreme samples in a Monte Carlo simulation for hypothesis testing?

For many hypothesis tests, Monte Carlo methods are used to estimate the empirical $p$-value which is defined as $$p=\#{(T_{sample} > T_{observed})}/N.$$ Is there a name for the samples with ...
3
votes
1answer
78 views

What is the covariance called when it is not divided by N?

I noticed that in signal processing they have this term called cross-covariance. The cross covariance function produces covariances of two functions with different lags. At the center of the vector ...
0
votes
0answers
16 views

The differences between criterion validity and operational validity

In some psychological articles, I have seen the term "operational validity". It is often used instead of "criterion validity". What are the differences between these two concepts?
0
votes
1answer
60 views

What is the difference between simple histogram and histogram LBP?

What is the difference between a simple histogram and a histogram LBP (local binary pattern)? Can someone provide the intuition behind histogram LBP?
0
votes
0answers
13 views

what is the drawback of DLBP(Dominant local binary pattern)?

Although the DLBP features encapsulate more textural information than the conventional LBP features, they lack the consideration of distant pixel interactions. The reason is that the binary patterns ...
0
votes
0answers
14 views

What are Bayes Factors and how can they be used to demonstrate a null finding of “no difference” between two groups?

A prominent journal in my field recently updated its advice to authors to state: Null findings: Authors should only report ‘no difference’ between conditions or lack of associations if they can ...
6
votes
1answer
263 views

what do we mean by hyperparameters? [duplicate]

Can anyone give me full details about what we mean by hyperparameters, and what in the Dirichlet distribution are called hyperparameters? A practice example for the estimation of those parameters ...
1
vote
1answer
41 views

Term for non-quantitative, non-qualitative variables?

Disclaimer: I am a coder -- not at all a research scientist, data scientist, or statistician. I support an online survey application that is then used to generate aggregate and individual data ...
3
votes
1answer
77 views

Similarities and dissimilarities in classical multidimensional scaling

I am having trouble reconciling between several terms in MDS. According to [1], Section 14.8, Classical MDS takes similarities as inputs. In [2], also cited in Wikipedia, Classical MDS takes ...
3
votes
2answers
94 views

Representative elements of a set

I'm looking for the technical name of the following problem. It sounds like a standard machine learning technique, but I'm not familiar with the field, and can't seem to find it. Let's say that we ...
2
votes
0answers
39 views

Why moments of expectation are known as “moments” [duplicate]

I am studying moments of expectation, and seen the formulas for computing the moments. There is one thing I am not clear of, and not getting answer for that. Why moments are named as moments? To my ...
3
votes
1answer
66 views

What is the difference between buckets and bins?

When calculating a histogram we do data binning, or group a number of more or less continuous values into a smaller number of "bins". But in bucket sort we set up buckets and assign a bucket to each ...
4
votes
3answers
232 views

versus (vs.): how to properly use this word in data analysis

This question is probably more about the English language than statistics, but I have decided to ask it here anyway. When we compare two groups of samples, let's say Treatment vs. Control, and we ...
1
vote
1answer
26 views

Some Terminology in Multilevel Analysis

What is the meaning of the following terms in multilevel analysis: cross-level interaction; micro level; macro level?
4
votes
3answers
1k views

Why do we say “Residual standard error”?

A standard error is the estimated standard deviation $\hat \sigma(\hat\theta)$ of an estimator $\hat\theta$ for a parameter $\theta$. Why is the estimated standard deviation of the residuals called ...
0
votes
2answers
66 views

Lifetime or Failure Time

Lifetime / Survival time / Failure time : the time to the occurrence of event (always nonnegative) . Lifetime and Survival time can be synonymous . ...
3
votes
1answer
70 views

Studying complex systems (complexity)

Complex socio-technical systems is one my research interests. Since I plan to further study such systems and related phenomena, I've done a bit of reading and ran across various books, such as Bar-Yam ...
0
votes
0answers
20 views

Using the terms significance, probability or likelihood, in connection with estimators

Imagine a number of variates $x_i$, and a number of processes $P_k$ which depend on these variables, in an unknown way (ie no clear cut formulas to work with). Now consider the scenario where you ...
0
votes
0answers
25 views

Is the bias of a coin a latent variable or a parameter?

Consider the standard Bayesian estimation problem in which the bias $p$ of a coin is picked uniformly at random from $[0, 1]$, the coin is tossed a few times, and $p$ is then estimated from the ...
2
votes
1answer
48 views

Is there any difference between Random and Probabilistic?

It seems i can't directly say probabilistic and random are identical . But this is telling : random experiment is a probabilistic experiment. Is there any difference between Random and ...
0
votes
2answers
78 views

Are Event and Outcome synonymous?

Outcome : An outcome is a result of a random experiment. Event : A single result of an experiment. Are Event and Outcome synonymous ?