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

learn more… | top users | synonyms (1)

15
votes
5answers
2k views

What does 'highly non linear' mean?

I often read about a function being 'highly non linear'. In my understanding, there is "linear" and "non-linear", so what is this 'highly' about? Is there a formal difference from non linear? How is ...
7
votes
1answer
331 views

What is the difference between multiple regression & mutivariate regression?

I have data on GDP growth as a dependent variable and growth in main production sectors of Pakistan such as mining, electricity, communication, manufacturing and electricity. I am supposed to run a ...
0
votes
1answer
44 views

Transformation of latitudes to include them a linear model

I have in a dataset a variable latitude that contains values such as 39° 37' 39" N and ...
10
votes
3answers
381 views

What are differences between the terms “time series analysis” and “longitudinal data analysis”

When talking about longitudinal data, we may refer to data collected over time from the same subject / study unit repeatedly, thus there are correlations for the observations within the same subject, ...
0
votes
1answer
22 views

Estimator as a Vector

Suppose we are performing a linear regression of $Y$ on $X$. That is: $$E[Y|X] = \beta_{0} + \beta_{1}X$$ Is it correct to say that an estimator is $\mathbf{\hat{e}} = (\hat{\beta_0}, ...
2
votes
1answer
41 views

What's the difference between regression coefficients and partial regression coefficients?

I've read here that When the independent variables are pairwise orthogonal, the effect of each of them in the regression is assessed by computing the slope of the regression between this ...
2
votes
0answers
16 views

What should I call these growth rates?

I have a table of sales growth rates by month calculated thus: $$\text{growth rate}_i=\dfrac{\text{sales in month } i-\text{sales in January}}{\text{sales in January}}$$ What should I call this ...
1
vote
0answers
11 views

What is the common terminology to refer to the nth ancestor of a tree root? [migrated]

Reading the Wikipedia article for common terminology for tree (data structure) there are several near references, but I don't read a formal declaration for how to refer to a specific generation of a ...
2
votes
0answers
51 views

What do you call $p(Y|X_1)$?

Given random vectors $Y= [Y_1, \dots, Y_m]$ and $X = [X_1, \dots, X_n]$, $p(y|x)$ is the conditional distribution of $Y$ given $X$. We can call $p(y_1|x)$ the marginal conditional distribution of ...
1
vote
0answers
8 views

EnergyThe meaning of these term in Image Processing?

Im newbie in Image Processing field, and I got many term that wierd. There are : Moments Local and global characteristic Energy of Image Color Temperature What each of them represent in Image??
10
votes
2answers
374 views

Why are the geometric distribution and hypergeometric distribution called as such?

Why are the geometric distribution and hypergeometric distribution called "geometric" and "hypergoemetric" respectively? Is it because their pmfs take some special form? Thanks!
6
votes
2answers
274 views

Is it inappropriate to call multiple regression analysis 'correlational'?

I recently received a review back for a paper in which I referred to some previous studies as 'correlational' where they used multiple regression to analyze some population data and make biological ...
0
votes
0answers
27 views

What is the difference between “data mining” and “data analytics”? [duplicate]

What is the difference between "data mining" and "data analytics"? Are both things the same technically?
1
vote
0answers
20 views

What do I call a set of datasets

For training a Machine learning model, I have 3 datasets: Training Validation Testing Normally I obtain there by dividing up the full dataset into pieces. I've created a function in my code to ...
0
votes
0answers
36 views

Differences between robustness checks and sensitivity analysis

This is a bit of a terminology question, but what is the difference between a robustness check and a sensitivity analysis? For example, if performing analysis to see how sensitive (or robust) a ...
14
votes
3answers
804 views

Why is logistic regression a linear model?

I want to know why logistic regression is called a linear model. It uses a sigmoid function, which is not linear. So why is logistic regression a linear model?
2
votes
0answers
45 views

Terminology used in normal probability plots

I'm vaguely familiar with normal probability plots (non-statistician who knows enough to get by). The graph in this article: What are the two dotted curves called, what do they signify, and how are ...
3
votes
2answers
98 views

ANOVA terminology: “repeated measures” vs . “within/between subjects”

What does the term "Repeated" mean in the context of ANOVA? I totally understand the distinction between within-subjects test and in-between subjects test, but am not familiar with the wording ...
0
votes
0answers
17 views

differentiation

I have a short question whether there is a difference between two terms: "Differentiation" and "First differencing" in the concept of SIMULTANEOUS EQUATIONS MODELS WITH PANEL DATA (Wooldridge, 2003, ...
6
votes
1answer
120 views

Regression Terminology

This is a very basic question, but I haven't been able to get an answer with my google-fu. In the following sentences: We regress W on Z We performed a regression of W on Z I'm unsure ...
0
votes
1answer
25 views

Proper wording for lottery skewed by contribution size

I have an idea for a lottery that is skewed in a fairly simple way: The chance of winning is proportional to the square of each player's contribution, divided by the sum of the square of all players' ...
3
votes
1answer
43 views

When and why does the “brittleness” of mutual information cause overfitting?

I have frequently heard concern over "brittleness" of entropy and mutual information as performance metrics for a statistical fitting and the fact that it leads to overfitting. You can see an example ...
2
votes
0answers
103 views

Confusion about the term “stochastic drift”

After reading lots of material about the subject, I believe that the term "stochastic drift" is defined in a two different ways. These two different definitions make the term unambiguous and I assume ...
6
votes
2answers
173 views

What does “$\sim$” mean and $A | B \sim C$?

I'm not sure if I fully understand the meaning of the symbol, I've seen this symbol in various articles but haven't managed to understand what they implied. I did some reading and it looks like $A ...
1
vote
1answer
34 views

Why X-process is called a process?

I have recently learnt about kernels in machine learning. And I have been introduced to many different processes e.g. Gaussian process, Wiener process. Now my question is why a set of functions has ...
1
vote
1answer
49 views

Difference in meaning of these terms: Dataset vs Corpus

I have a question pertaining to definition of terms that I couldn't find answer for. What's the difference between Dataset and Corpus? I've seen them being used almost interchangeably. My ...
5
votes
2answers
155 views

Is calculating “actual coverage probability” the same thing as calculating a “credible interval”?

I was reading an entry level statistics textbook. In the chapter on maximum likelihood estimation of the success proportion in data with binomial distribution, it gave a formula for calculating a ...
1
vote
1answer
37 views

Regarding sum of squares two ways how are they connected

$$ \sum(X^2) - \frac{(\sum X)^2}{n} = \sum(X^2) - m\sum X $$ This was nicely derived in Sum of squares two ways, how are they connected? But why is the second term called the "correction term for the ...
1
vote
1answer
71 views

Statistical modeling terminology

Based on Wikipedia's definition, I believe that statistical model refers to a certain sort of family of distributions, such as univariate Gaussian distributions in general. Is there special ...
4
votes
2answers
95 views

Definition of likelihood ratio test

Do I understand this correctly: You fit a model with unknown parameters to a dataset. You choose the parameters so the likelihood of the dataset under the model is maximal. Let this be $L_{max, ...
1
vote
0answers
20 views

Meaning of restricted prior

I encountered the usage of a "restricted prior". Could someone explain what distribution this refers to, and what is the meaning?
3
votes
1answer
64 views

Why is the term “chi-square” acceptable?

It is possible that this is only an English language question (in which case, please move it), but I ask in case there is any statistical or mathematical logic to the answer. I'm sure the phrase ...
1
vote
2answers
49 views

What is the expected partial value function really called?

If f is a pdf, the integral of x*f(x) over the entire range where f(x) > 0 gives, of course, the expected value. Suppose that integrate the same function, x*f(x) from negative infinity up to t, ...
12
votes
10answers
303 views

Common words that have particular statistical meanings

I am not a statistician but my research work involves statistics (analyzing data, reading literature, etc.). I was again reminded from a comment on one of my questions posted here that there are some ...
0
votes
0answers
52 views

I do not understand the terminology of $Q_n$

I am trying to understand what looks to be some simple terminology issue, involving $Q_n$ from my book here: Specifically, I do not understand what they mean when they say $m = {n \choose 2}$, and ...
2
votes
0answers
30 views

Is there a better term for frequency distribution of a term frequency?

I am wondering if there is a better way of formulating this and also if this is a correct way of formulating it. What I'm trying to represent in the frequency distribution is the count of documents ...
1
vote
1answer
75 views

Does randomization really allow us to make claims of causality?

Lets say two groups are compared. Subjects are randomly assigned to each group, then a treatment is given to half while a placebo is given to the other half. All aspects of the experiment (order of ...
0
votes
1answer
36 views

What is the proper terminology for the parts of a bayesian hierarchial model?

Lets say I have the following JAGS model, what are the proper terms for the three parts and 1/tau? ...
2
votes
1answer
84 views

Intuition behind the names 'partial' and 'marginal' correlations

Does anybody have an idea about why conditional correlation between 2 variables is called "partial" correlation and the simple correlation between them (so, when not conditioned on any other variable) ...
0
votes
0answers
26 views

independent or dependent

I have situation in which I query different sites on the genome (biologically independent) and for each site I get a measurement. I have a number of measurements that are close together on the genome ...
3
votes
1answer
132 views

What is “estimated unbiased variance of the error term”?

Disclosure: This is a homework question. I have fit a multiple linear regression model in eviews, and I am asked to calculate "estimated unbiased variance of the error term, i.e., $\hat\sigma^2$". ...
0
votes
0answers
77 views

Is there a term that refers to the distance of an object from the mean?

I am trying to rephrase this sentence: I will compare the difference between the deviation of the student's midterm exam mark in this class from the class average with the deviation of the marks ...
1
vote
1answer
45 views

Question on terminology

When we train a model for classification, we call it a 'classifier'. When we train a model for regression, what do we call it? The only thing I could think of was "regression model" or just "model", ...
1
vote
1answer
85 views

What is error structure?

Simple question but I can't find the answer anywhere online or in any of my texts. I think people assume you know, but I don't. What is an error structure, specifically for selecting the family ...
0
votes
0answers
21 views

Origin of Z-estimation

Van der Vaart [1] uses the term Z-estimation for the estimating equations approach. Is this the first use of the term? [1] Vaart, A. W. Van Der. Asymptotic Statistics. Cambridge University Press, ...
0
votes
1answer
38 views

Is this a correct use of “optimal”?

During fine-tuning some classifier parameters, is it correct to talk about "optimal" configuration? For example, if perfect classification is impossible, but the error converges to some relatively ...
5
votes
3answers
197 views

Why do they call it “sampling distribution of the sample mean”?

Ok, I understand that there is a true population mean and one that I get from the sample. It is different for every sample and, thus, I can build the distribution of the sample means. I arrive at a ...
3
votes
1answer
72 views

What is the name for this distribution defined on a circle

One can define the probability distribution: $$ p(\theta; \alpha, \theta_0) = \frac{ e^{ \alpha \cos( \theta-\theta_0) }}{ 2 \pi I_0(\alpha)} $$ over an angular variable $\theta \in [0,2 \pi]$. By ...
0
votes
0answers
29 views

Is there a term for reducing the number of parameters of a distribution in the following way?

Let's say I have a general distribution that can be specified with 100 parameters $a_1,...,a_{100}$. Now, let's say that within this family of distributions, there is a subfamily that can be ...
12
votes
1answer
119 views

Is there a better name than “average of the integral”?

I'm testing throttle position sensors (TPS) my business sells and I print the plot of voltage response to the throttle shaft's rotation. A TPS is a rotational sensor with $\approx$ 90° of range and ...