Questions tagged [history]

Questions about the history of statistics.

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When and how was the Bernoulli distribution with real binomial proportion introduced?

I certainly should read Jakob Bernoulli's Ars Conjectandi again but let me share my concerns. I'm just wondering when and how the Bernoulli distribution $Be(p)$ (and related distributions like the ...
Student's user avatar
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1 vote
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Who first described a statistical estimate as an approximation of a population parameter?

At some point in the history of statistics, there surely was a transition from thinking of statistical measures strictly as imperfect approximations of real quantities, to thinking of them as ...
virtuolie's user avatar
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5 votes
1 answer
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Who first suggested weak stationarity and strict stationarity?

I wonder who first suggested and defined weak stationarity, and which paper it is. It seems that many paper using it as given, but I'm just curious of how it is defined and proved, and the discussions ...
leeway00's user avatar
0 votes
0 answers
26 views

Why standard deviation is based on squared value? [duplicate]

Why is not "standard deviation" = $\frac{Σ|X-μ|}{N}$, $μ$ being the mean, and is the formula we know today? This could be considered a philosophical question until you try to connect word &...
Alex's user avatar
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3 votes
1 answer
720 views

When was the Leaky ReLU activation function first used?

An earlier question discovered the first use of the ReLU function. In what paper was the Leaky ReLU activation function first used? By that, I mean the first use of this equation: $$ f(x, \alpha) = \...
Richie Bendall's user avatar
6 votes
2 answers
1k views

Why is Neyman-Pearson lemma a lemma or is it a theorem?

A classical result in statistical theory is the Neyman-Pearson lemma, which not only shows the existence of tests with the most power that return a pre-specified level of Type I error, but also a way ...
Tom Chen's user avatar
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9 votes
1 answer
459 views

When was the earliest appearance of Empirical Cumulative Distribution Plots?

I would be surprised if we actually had a date here. I am curious who, if anyone, created the ecdf plot. When did the ecdf make its first appearance? If we do not know when the first ecdf plot was ...
Alex's user avatar
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13 votes
2 answers
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How did the “Hat Matrix” get its name

How did the hat matrix get its name $\hat{\mathbf{H}} = \mathbf{X} \left( \mathbf{X}^\textsf{T} \mathbf{X} \right)^{-1} \mathbf{X}^\textsf{T}$ I am interested in the etymology of the term. Who gave it ...
Alex's user avatar
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12 votes
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948 views

If Galton did not use least squares then how was he drawing his regression slopes?

I read the following from a document online here. Galton was full of ideas but was no mathematician. He didn’t even use least squares, preferring to avoid unpleasant computations. If Galton did not ...
Alex's user avatar
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6 votes
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Who estimated war casualties from tightly-controlled government news sources?

I've read about this historical case before so I thought it would be very easy to Google, but after a few dozen queries that come up with nothing relevant I'm ready to punt. The story goes like this. ...
Daniel McLaury's user avatar
2 votes
1 answer
91 views

how standard is R model formula notation

I like using R model formula notation such as $Y \sim X_1 + X_2$ when thinking of regression relationships at a high level. The same for lmer notation such as $Y \sim X | group$. I am wondering how ...
kara890's user avatar
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4 votes
1 answer
221 views

History of terms type 1 error and type 2 error?

The terms "type I" (or "alpha) and "type II" (or "beta) error, to denote false positive and false negative, are often used. What is the history of those terms?
deMoivre's user avatar
5 votes
1 answer
626 views

Where does the Logistic Distribution get its name?

Having read around on the topic I understand its application as a close approximation of the normal distribution with a nicer mathematical form, but where does its name come from? Is it associated ...
Connor's user avatar
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3 votes
0 answers
77 views

A misspecification error with linear models that can complete reverse the direction of an effect, has this been described, has this a name?

Linear models are ubiquitous in economic, social, health and nutritional sciences and the starting point for much research and many articles. However, there is a problem with linear models. When the ...
Sextus Empiricus's user avatar
30 votes
4 answers
2k views

What important ideas came since Nelder and McCullagh's book Generalized Linear Models (a 40 year old book)?

I read not too long ago Nelder and McCullagh's book Generalized Linear Models and thought the book was fantastic and I consider it a useful manual on the subject. Not surprising that's the case, ...
cgmil's user avatar
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2 votes
1 answer
214 views

Who originally defined leverage scores to be the diagonal elements of $X(X^TX)^{-1}X^T$?

A nice description of leverage in the sense that I am using it is given here so I will not repeat it. Who originally defined leverage scores to be the diagonal elements of $X(X^TX)^{-1}X^T$?
Galen's user avatar
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5 votes
2 answers
139 views

When using ROC curves for WWII Radars, what was the TN?

One of the origins of ROC curves seems to be to compare radar systems in WWII (source). How did they actually compute the False Positive Rate when they didn't have an estimate for True Negatives? If I ...
brnl's user avatar
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3 votes
0 answers
39 views

Were Many (Famous) Theoretical Laws in Science Based on "Regression"? [closed]

In a essay about the meaning of life, the famous scientist Schrodinger once said "Physical laws rest on atomic statistics and are therefore only approximate" (http://www.whatislife.ie/...
stats_noob's user avatar
1 vote
1 answer
460 views

What exactly is the history of Dynamic Time Warping? Where can I find information?

I am writing a thesis comparing some methods of time series classification, part of which is DTW combined with K-NN algorithm. I'd love to know (and write, backed by reliable references) something ...
Brzoskwinia's user avatar
0 votes
0 answers
58 views

History of Regularization and Shrinkage [duplicate]

Can anyone recommend any research papers where the undesirable effects of overfitting on statistical models were first observed? In the context of regression, at what point did researchers begin to ...
stats_noob's user avatar
13 votes
2 answers
1k views

What is the original derivation of the Poisson distribution?

I am learning the Poisson distribution. I understand it, but its probability mass function is not natural to me. I think its probability mass function seems to be derived from somewhere with more ...
i_love_somebody's user avatar
0 votes
1 answer
101 views

How to forecast a rental weekly sales demand using a 4 year history data?

I need to estimate the weekly demand required for a specific product in a specific week at a specific location. I have the past 4 years daily data of each product at each location. For example: number ...
shravya's user avatar
1 vote
1 answer
63 views

Why is it called the ‘error’ term?

In econometrics, why is the error term called the ‘error’ term? The myriad things it captures that influence the independent variable are not errors. They are valid real life phenomena. Is there any ...
L Robinson's user avatar
8 votes
1 answer
1k views

Who first coined the phrase "correlation does not imply causation"?

Reading Galton and Wright has indicated to me that even from the early days of considering correlation, there was some awareness that correlation is not synonymous with causation. However, who was the ...
Galen's user avatar
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7 votes
3 answers
328 views

What is the history of $p < 0.05$ or 95% confidence?

I'm wondering what the history of $p < 0.05$ or using a 95% confidence interval is. I know that more nuanced reasoning would argue that there is nothing special about 0.05 or 95% (I think decision ...
cgmil's user avatar
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9 votes
1 answer
313 views

Intuition about the coupon collector problem approaching a Gumbel distribution

The coupon collector's problem Let there be $n$ different types of coupons and we try to collect all of the types. We do this by independent random draws of coupons in which each type of coupon has an ...
Sextus Empiricus's user avatar
4 votes
1 answer
166 views

When was a random variable first called a "random variable"? And why is it called as such?

From measure theoretic foundations, it is clear that a random variable is neither random nor a variable. It is a deterministic function developed as follows: Construct probability space: $(\Omega, \...
tisPrimeTime's user avatar
1 vote
0 answers
14 views

Relationship between conjoint measurement and conjoint analysis

The wikipedia page "Cojoint Analysis" says that conjoint analysis originated in mathematical psychology (without a reference) but also that it was developed by marketing professor Paul Green....
Johannes Titz's user avatar
3 votes
4 answers
350 views

Why didn't $\Pr \left( A \rightarrow B \right)$ catch on?

Students are conditioned to thinking in terms of IF-THEN statements even before high school, and courses offered at the university level often lead to the formalization of material implication. ...
Galen's user avatar
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38 votes
1 answer
818 views

Reference: who introduced the tilde "~" notation to mean "has probability distribution..."?

[Note: although this question has an accepted answer, the investigation is not finished yet. I encourage you to post your findings.] Who first introduced the notation "$X \sim Q$", meaning ...
pglpm's user avatar
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8 votes
2 answers
319 views

History of the term "early stopping"

Who first used "early stopping" to refer to a form of regularization by stopping training before convergence? I have attempted to search myself but I am not sure how to find the answer. Was ...
Simd's user avatar
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3 votes
0 answers
188 views

Did Auguste Bravais really derive the mathematical definition of Pearson's product-moment correlation coefficient?

The wikipedia pages on Auguste Bravais,Karl Pearson, the Pearson correlation coefficient,and Francis Galton all cite the following book: Bravais, A (1846). "Analyse mathématique sur les ...
Galen's user avatar
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54 views

Interpretation of Huygens Expectation

Christiaan Huygens wrote in "Libelus de Ratiociniis in Ludo Alae" (can be found here - page 2, Postulat) : That any one Chance or Expectation to win any thing is worth just such a Sum, as ...
Janko's user avatar
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8 votes
1 answer
99 views

Is there a real example in which a correlation finally leads to the discovery of a non-trivial causal relationship?

More specifically, I am wondering if there is such an example satisfying the following criteria: The example happened after 1888, it would be better to be after 1900—I think few people have the ...
Eli4ph's user avatar
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2 votes
1 answer
111 views

Why was Bayes' Theory not accepted/popular historically until the late 20th century?

I have to write a math history paper. I was going to write it on the rise of Bayes' Theory. I have read around that Bayes' theory was no widely accepted or used until the 20th century. I need to make ...
rztxx's user avatar
  • 21
2 votes
0 answers
38 views

Why a false positive is called type I error and a flase negative a type II error? [duplicate]

I am trying to understand what are the historical reasons behind the choice of the term Type I and Type II error. I think is much more intuitive to use false positive and false negative. These two ...
G M's user avatar
  • 291
2 votes
0 answers
573 views

Explanation on why SD is better than MD [duplicate]

Trying to understand why Standard Deviation (SD) is widely accepted as a measure of dispersion instead of Mean Deviation (MD) $\frac {1}{N}\sum|X-\mu|$. Revisiting a 90-year-old debate: the advantages ...
mon's user avatar
  • 1,334
11 votes
1 answer
3k views

Is least squares means (lsmeans) statistical nonsense?

I recently came accross this quote from Brian Ripley, who seems to be well-regarded as a statistician. "Some of us feel that type III sum of squares and so-called ls-means are statistical ...
Joe King's user avatar
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7 votes
2 answers
239 views

Origin of terms "sensitivity" and "specificity"

Who coined the terms "sensitivity" and "specificity"—meaning the complements of false positives, and false negatives, respectively in tests and measures—and when did they first do ...
Alexis's user avatar
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11 votes
1 answer
450 views

Were SVMs developed as a method of efficiently training neural networks?

This answer contains the following statement: SVMs were initially developed as a method of efficiently training the neural networks. Is that correct? Could anyone provide a reference?
Richard Hardy's user avatar
8 votes
2 answers
770 views

Reference request: Storks bring babies

There is a well-known statistical example, claiming that there is correlation between the number of babies in Alsatian/Danish/Dutch/German villages or European countries and the number of storks in ...
Lukas D. Sauer's user avatar
0 votes
1 answer
614 views

Reference request of softmax function [closed]

What paper should I cite to reference softmax? Thanks in advance.
Xtalker's user avatar
4 votes
1 answer
402 views

Who was the first person to prove the straight line cross probability for a Brownian motion?

In the paper "Heuristic approach to the Kolmogorov-Smirnov theorems" by J.L. Doob (1949) it's mencioned this well-known theorem: If $\zeta=\{\zeta_{t}|t\geq 0\}$ is a Brownian motion then $$...
Max's user avatar
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4 votes
1 answer
431 views

Who first proposed Bayesian optimisation with Gaussian processes?

From what I understand, the 'standard' approach to Bayesian Optimisation uses a Gaussian process for the prior (as opposed to more recent proposals like TPE or Bayesian Optimisation with random ...
oulenz's user avatar
  • 139
1 vote
0 answers
149 views

Who invented the concept of over-fitting?

I list the references that I found so far. Shortly, the first appearance of the term was in 1670, first appearance in in close meaning was in 1827, first appearance in a biological paper was in 1923 ...
DaL's user avatar
  • 4,632
2 votes
1 answer
35 views

Did Fisher consider a joint fiducial distribution for the Gaussian model?

Consider the Gaussian model $y_i \sim_{\text{iid}} \mathcal{N}(\mu,\sigma^2)$, $i = 1, \ldots, n$, with unknown mean $\mu$ and unknown standard deviation $\sigma$. The random variable $t = \tfrac{\...
Stéphane Laurent's user avatar
1 vote
0 answers
46 views

Researcher who reinvented least squares regression? Urban legend?

I can't recall where I read about this. Supposedly, a young researcher (or student?) in the 1970s or 1980s independently rediscovered and published their methodology for ordinary least squares ...
RobertF's user avatar
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8 votes
3 answers
2k views

The explosive AR(1) process with $\varphi>1$, where was this first represented as a stationary, but non-causal, time-series?

According to this question and answer Explosive AR(MA) processes are stationary? the AR(1) process (with $e_t$ white noise): $$X_{t}=\varphi X_{t-1}+e_{t} \qquad , e_t \sim WN(0,\sigma)$$ is a ...
Sextus Empiricus's user avatar
4 votes
1 answer
89 views

What is the origin of the term 'inverse probability'?

Inverse probability relates strongly, or is synonymous to, Bayesian probability. Thomas Bayes applied the idea in 'An Essay towards solving a Problem in the Doctrine of Chances' (published in 1763). ...
Sextus Empiricus's user avatar
30 votes
4 answers
9k views

What exactly does the term "inverse probability" mean?

I keep seeing the term "inverse probability" mentioned in passing albeit without any explanation. I know it has to do with Bayesian inference, but what exactly do we mean by inverting a ...
stochasticmrfox's user avatar

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