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Author: Abraham de Moivre
Abraham de Moivre

Abraham de Moivre was a France mathematician famous for de Moivre's formula, which links complex numbers and trigonometry, and for his work on the normal distribution and probability theory....
Publication data: 1738 (2nd ed.)
Online version: ?
Description: The book introduced the concept of normal distribution
Normal distribution

The normal distribution, also called the Gaussian distribution, is an important family of continuous probability distributions, applicable in many fields....
s as approximations to binomial distribution
Binomial distribution

In probability theory and statistics, the binomial distribution is the discrete probability distribution of the number of successes in a sequence of n statistical independence yes/no experiments, each of which yields success with probability p....
s. In effect, de Moivre proved a weak version of the central limit theorem
Central limit theorem

The central limit theorem states that the re-averaged sum of a sufficiently large number of Independent and identically-distributed random variables Statistical independence random variables each with finite mean and variance will be approximately normal distribution ....
. Sometimes his result is called the theorem of de Moivre-Laplace.
Importance: Topic creator, Breakthrough, Influence


Théorie analytique des probabilités
Author: Pierre-Simon Laplace
Pierre-Simon Laplace

Pierre-Simon, marquis de Laplace was a France mathematician and astronomer whose work was pivotal to the development of astronomy and statistics....
Publication data: 1820 (3rd ed.)
Online version:; , with more accurate character recognition; , complete PDF and PDFs by section
Description: Attacks the roots of least squares and interpolation techniques, bringing back techniques from a century before that were long forgotten, studies the influence of median
Median

In probability theory and statistics, a median is described as the number separating the higher half of a sample, a population, or a probability distribution, from the lower half....
 and skewness
Skewness

In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real number-valued random variable....
 in regression analysis
Regression analysis

In statistics, regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a dependent variable and of one or more independent variables ....
 (even thought it wasn't called that way in the time).






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Encyclopedia


Probability
Probability

Probability, or wikt:chance, is a way of expressing knowledge or belief that an Event will occur or has occurred. In mathematics the concept has been given an exact meaning in probability theory, that is used extensively in such areas of study as mathematics, statistics, finance, gambling, science, and philosophy to draw conclusions about t...


The Doctrine of Chances
The Doctrine of Chances

The Doctrine of Chances was the first textbook on probability theory, written by 18th-century French mathematician Abraham de Moivre and first published in 1718....
Author: Abraham de Moivre
Abraham de Moivre

Abraham de Moivre was a France mathematician famous for de Moivre's formula, which links complex numbers and trigonometry, and for his work on the normal distribution and probability theory....
Publication data: 1738 (2nd ed.)
Online version: ?
Description: The book introduced the concept of normal distribution
Normal distribution

The normal distribution, also called the Gaussian distribution, is an important family of continuous probability distributions, applicable in many fields....
s as approximations to binomial distribution
Binomial distribution

In probability theory and statistics, the binomial distribution is the discrete probability distribution of the number of successes in a sequence of n statistical independence yes/no experiments, each of which yields success with probability p....
s. In effect, de Moivre proved a weak version of the central limit theorem
Central limit theorem

The central limit theorem states that the re-averaged sum of a sufficiently large number of Independent and identically-distributed random variables Statistical independence random variables each with finite mean and variance will be approximately normal distribution ....
. Sometimes his result is called the theorem of de Moivre-Laplace.
Importance: Topic creator, Breakthrough, Influence


Théorie analytique des probabilités
Author: Pierre-Simon Laplace
Pierre-Simon Laplace

Pierre-Simon, marquis de Laplace was a France mathematician and astronomer whose work was pivotal to the development of astronomy and statistics....
Publication data: 1820 (3rd ed.)
Online version:; , with more accurate character recognition; , complete PDF and PDFs by section
Description: Attacks the roots of least squares and interpolation techniques, bringing back techniques from a century before that were long forgotten, studies the influence of median
Median

In probability theory and statistics, a median is described as the number separating the higher half of a sample, a population, or a probability distribution, from the lower half....
 and skewness
Skewness

In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real number-valued random variable....
 in regression analysis
Regression analysis

In statistics, regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a dependent variable and of one or more independent variables ....
 (even thought it wasn't called that way in the time). Inspired the field of robust regression
Robust regression

In robust statistics, robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric statistics and non-parametric statistics....
, proposed the Laplace distribution
Laplace distribution

In probability theory and statistics, the Laplace distribution is a continuous probability distribution named after Pierre-Simon Laplace. It is also known as the double exponential distribution, because it can be thought of as two exponential distributions spliced together back-to-back....
 and was the first to seriously criticize Carl Friedrich Gauss
Carl Friedrich Gauss

Johann Carl Friedrich Gauss. was a Germans mathematician and scientist who contributed significantly to many fields, including number theory, statistics, mathematical analysis, Differential geometry and topology, geodesy, electrostatics, astronomy and optics....
 work on statistics
Statistics

Statistics is a Mathematics pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It also provides tools for prediction and forecasting based on data....
.
Importance: Topic creator, Breakthrough, Influence


Foundations of the Theory of Probability
Author: Andrey Kolmogorov
Andrey Kolmogorov

Andrey Nikolaevich Kolmogorov was a Soviet Union Russian mathematician, preeminent in the 20th century who advanced various scientific fields ....
Publication data: 1933 as "Grundbegriffe der Wahrscheinlichkeitsrechnung"
Online version: http://www.kolmogorov.com/Foundations.html
Description: The foundation of modern probability theory.
Importance: Breakthrough


Bayesian statistics

An Essay Toward Solving a Problem in the Doctrine of Chances
Author: Thomas Bayes
Thomas Bayes

Thomas Bayes was a Kingdom of Great Britain mathematician and Presbyterian minister, known for having formulated a specific case of the theorem that bears his name: Bayes' theorem, which was published posthumously....
Publication data: 1763-12-23
Online version:
Description: In this paper Bayes addresses the problem of using a sequence of identical "trials" to determine the per-trial probability
Probability

Probability, or wikt:chance, is a way of expressing knowledge or belief that an Event will occur or has occurred. In mathematics the concept has been given an exact meaning in probability theory, that is used extensively in such areas of study as mathematics, statistics, finance, gambling, science, and philosophy to draw conclusions about t...
 of "success" — the so-called inverse probability
Inverse probability

In probability theory, inverse probability is an obsolete term for the probability distribution of an unobserved variable.Today, the problem of determining an unobserved variable is called inferential statistics, the method of inverse probability is called Bayesian probability, the "distribution" of an unobserved variable given data is ra...
 problem. It later inspired the theorem that bears his name (Bayes' theorem
Bayes' theorem

In probability theory, Bayes' theorem relates the Conditional probability of two random events. It is often used to compute posterior probabilities given observations....
). See also Pierre Simon de Laplace.
Importance: Topic creator, Breakthrough, Influence


Treatise on Probability
Author: J.M. Keynes
Publication data: London, Macmillan, 1921.
Description: Early statement of probability as a subjective measure of degree of belief. Keynes is better-known for his contributions to Economics, but this erudite book shows him to be a polymath.
Importance:


Probability, Induction and Statistics
Author: Bruno de Finetti
Bruno de Finetti

Bruno de Finetti was an Italy list of probabilists and statistician, noted for the "operational subjective" conception of probability. The classic exposition of his distinctive theory is the 1937 "La pr?vision: ses lois logiques, ses sources subjectives," which discussed probability founded on the coherence of betting odds and the consequenc...
Publication data: New York: John Wiley & Sons, Inc., 1972.
Description A collection of de Finetti's essays on subjective probability.
Importance:


Theory of Probability
Author: Bruno de Finetti
Bruno de Finetti

Bruno de Finetti was an Italy list of probabilists and statistician, noted for the "operational subjective" conception of probability. The classic exposition of his distinctive theory is the 1937 "La pr?vision: ses lois logiques, ses sources subjectives," which discussed probability founded on the coherence of betting odds and the consequenc...
Publication data: Two volumes, A.F.M. Smith and A. Machi (trs.), New York: John Wiley & Sons, Inc., 1974, 1975.
Description The first detailed statement of the operational subjective position, dating from the author's research in the 1920s and 30s.
Importance: A classic.


Operational Subjective Statistical Methods
Author: Frank Lad
Publication data: New York: John Wiley & Sons, Inc., 1996, 484pp.
Description: Comprehensive; subtitled "A Mathematical, Philosophical, and Historical Introduction", but probably not for the general reader.
Importance: A fairly exhaustive statement of the operational position, following on from the earlier work by Bruno de Finetti
Bruno de Finetti

Bruno de Finetti was an Italy list of probabilists and statistician, noted for the "operational subjective" conception of probability. The classic exposition of his distinctive theory is the 1937 "La pr?vision: ses lois logiques, ses sources subjectives," which discussed probability founded on the coherence of betting odds and the consequenc...
.


Bayesian Theory
Author: José Bernardo & Smith, AFM
Publication data: New York: John Wiley & Sons, Inc., 2000, 608pp.
Description: Emphasis on viewing statistical inference as a special case of decision theory. Originally published January 1994, this paperback edition is a reprinting with corrections.
Importance: Complete. One of the authors helped translate de Finetti's books into English. The text contains references from 1763 (Bayes' original treatise) to 1993 covering 66 pages of the text!


Author: José Bernardo & Smith, AFM
Publication data: New York: John Wiley & Sons, Inc., 2007, 640pp.
Description: Maximizing expected utility as the only decision criterion. This is the second edition of the above paperback version.
Importance: Updated version. Does not include Markov chain Monte Carlo methods


Introduction to Bayesian Inference and Decision, 2nd Edition
Author: Robert L Winkler
Publication data: Gainesville: Probabilistic Publishing, 2003, 450pp.
Description: Updated version of Winkler's classic textbook which was initially published in 1972.
Importance: Graduate level introduction to Bayesian inference.


Multivariate Analysis
Multivariate analysis

Multivariate analysis is based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical variable at a time....


Multivariate Analysis
Authors: KV Mardia
Kantilal Mardia

Kantilal Vardichand Mardia is a statistician specializing in directional statistics, multivariate analysis, geostatistics, statistical bioinformatics and statistical shape analysis....
, JT Kent and JM Bibby
Publication data: 1979, Academic Press
Online version: ?
Description: A good non-technical introduction, with many examples.
Importance: Still in use after nearly 30 years!


Applied statistics


Statistical Methods for Research Workers
Statistical Methods for Research Workers

Statistical Methods for Research Workers is a classic 1925 book on statistics by the statistician Ronald Fisher. It is considered by some to be one of the 20th century's most influential books on statistical methods....
Author: R.A. Fisher
Ronald Fisher

Sir Ronald Aylmer Fisher, Fellow of the Royal Society was an England statistician, evolutionary biologist, and genetics. He was described by Anders Hald as "a genius who almost single-handedly created the foundations for modern statistical science" and Richard Dawkins described him as "the greatest of Charles Darwin successors"....
Publication data: Edinburgh: Oliver & Boyd, 1925 (1st edition); London: Macmillan, 1970 (15th edition)
Online version: http://psychclassics.yorku.ca/Fisher/Methods/
Description: The original manual for researchers, especially biologists, on how to statistically evaluate numerical data.
Importance: Hugely influential text by the father of modern statistics that remained in print for more than 50 years. Responsible for the widespread use of tests of statistical significance
Statistical significance

In statistics, a result is called statistically significant if it is unlikely to have occurred by chance. "A statistically significant difference" simply means there is statistical evidence that there is a difference; it does not mean the difference is necessarily large, important, or significant in the common meaning of the word....
.


Statistical Methods
Author: Snedecor, GW
Publication data: 1937, Collegiate Press
Description: One of the first comprehensive texts on statistical methods. Reissued as Statistical Methods Applied to Experiments in Agriculture and Biology in 1940 and then again as Statistical Methods with Cochran, WG in 1967. A classic text.
Importance: Influence


Principles and Procedures of Statistics with Special Reference to the Biological Sciences.
Authors: Steel, R.G.D, and Torrie, J. H.
Publication data: McGraw Hill (1960) 481 pages
Description: Excellent introductory text for analysis of variance (one-way, multi-way, factorial, split-plot, and unbalanced designs). Also analysis of co-variance, multiple and partial regression and correlation, non-linear regression, and non-parametric analyses. This book was written before computer programmes were available, so it gives the detail needed to make the calculations manually.Cited in more than 1,381 publications between 1961 and 1975.
Importance: Influence


Biometry: The Principles and Practices of Statistics in Biological Research
Authors: Robert R. Sokal
Robert R. Sokal

Robert Sokal is an Austrian-United States biostatistics and anthropology. Distinguished Professor Emeritus at the Stony Brook University, Sokal is a member of the United States National Academy of Sciences and the American Academy of Arts and Sciences....
; F. J. Rohlf
Publication data: 1st ed. W. H. Freemann (1969),; 2nd ed. W. H. Freemann (1981); 3rd ed. Freeman & Co. (1994)
Description: Key textbook on Biometry: the application of statistical methods for descriptive, experimental, and analytical study of biological phenomena.
Importance Cited in more than 7,000 publications.


Statistical learning theory
Statistical learning theory

Statistical learning theory is an ambiguous term.#It may refer to computational learning theory, which is a sub-field of theoretical computer science that studies how algorithms can learn from data....
 


On the uniform convergence of relative frequencies of events to their probabilities
Authors: V. Vapnik
Vladimir Vapnik

Vladimir Naumovich Vapnik is one of the main developers of Vapnik-Chervonenkis theory. He was born in the Soviet Union. He received his master's degree in mathematics at the , Samarkand, Uzbek Soviet Socialist Republic in 1958 and Doctor of Philosophy in statistics at the , Moscow in 1964....
, A. Chervonenkis
Alexey Chervonenkis

Alexey Jakovlevich Chervonenkis is a Russian mathematician, and, with Vladimir Vapnik, was one of the main developers of the Vapnik-Chervonenkis theory, also known as the "fundamental theory of learning" an important part of computational learning theory....
Publication data: Theory of Probability and its Applications, 16(2):264--280, 1971
Description: Computational learning theory
Computational learning theory

In theoretical computer science, computational learning theory is a mathematical field related to the analysis of machine learning algorithms....
, VC theory, statistical uniform convergence and the VC dimension
VC dimension

In statistical learning theory, or sometimes computational learning theory, the VC dimension is a measure of the capacity of a statistical classification algorithm, defined as the cardinality of the largest set of points that the algorithm can shattering....
.
Importance: Breakthrough, Influence


Variance component estimation


Author: Fisher, RA
Ronald Fisher

Sir Ronald Aylmer Fisher, Fellow of the Royal Society was an England statistician, evolutionary biologist, and genetics. He was described by Anders Hald as "a genius who almost single-handedly created the foundations for modern statistical science" and Richard Dawkins described him as "the greatest of Charles Darwin successors"....
Publication data: 1922, Philosophical Transactions of the Royal Society, London, Series A, volume 222, pages 309-368
Description: First comprehensive treatise of estimation by maximum likelihood.
Importance: Topic creator, Breakthrough, Influence


Estimation of variance and covariance components
Author: Henderson, CR
Charles Roy Henderson

Charles Roy Henderson was a statistician and a pioneer in animal breeding — the application of quantitative methods for the genetic evaluation of domestic livestock....
Publication data: 1953, Biometrics
Biometrics

Biometrics refers to two different fields of study and application:In biological studies it refers to the collection, synthesis, analysis and management of data in biology....
, volume 9, pages 226-252
Description: First description of three methods of estimation of variance components in mixed linear models for unbalanced data. "One of the most frequently cited papers in the scientific literature."
Importance: Topic creator, Breakthrough, Influence


Maximum-likelihood estimation for the mixed analysis of variance model
Author: H. O. Hartley
Herman Otto Hartley

H. O. Hartley , born Herman Otto Hirschfeld, was a German-American statistician. He developed Hartley's test for equality of variances. He also founded Texas A&M University's Department of Statistics....
 and J. N. K. Rao
Publication data: 1967, Biometrika
Biometrika

Biometrika is a scientific journal principally covering theoretical statistics....
, volume 54, pages 93-108
Description: First description of maximum likelihood methods for variance component estimation in mixed models
Importance: Topic creator, Breakthrough, Influence


Recovery of inter-block information when block sizes are unequal
Author: Patterson, HD; Thompson, R
Publication data: 1971, Biometrika
Biometrika

Biometrika is a scientific journal principally covering theoretical statistics....
, volume 58, pages 545-554
Description: First description of restricted maximum likelihood (REML)
Importance: Topic creator, Breakthrough, Influence


Estimation of Variance and Covariance Components in Linear Models
Author: Rao, CR
Publication data: 1972, Journal of the American Statistical Association
Journal of the American Statistical Association

The Journal of the American Statistical Association is the most prestigious journal published by the American Statistical Association, the main professional body for statisticians in the United States....
, volume 67, pages. 112-115
Description: First description of Minimum Variance Quadratic Unbiased Estimation (MIVQUE) and Minimum Norm Quadratic Unbiased Estimation (MINQUE) for unbalanced data
Importance: Topic creator, Breakthrough, Influence


Mathematical statistics


Introduction to the Theory of Statistics
Author: Mood, AM
Publication data: 1950, McGraw-Hill, New York
Description: One of the first, and most comprehensive, texts covering theoretical mathematical statistics. Updated in 1963 (with Graybill, FA) and in 1974 (with Graybill, FA and Duane C. Boes, DC)
Importance: Influence


Survival analysis
Survival analysis

Survival analysis is a branch of statistics which deals with death in biological organisms and failure in mechanical systems.This topic is called reliability theory or reliability analysis in engineering, and duration analysis or duration modeling in economics or sociology....
 


Nonparametric estimation from incomplete observations
Author: Kaplan, EL and Meier P
Publication data: 1958, Journal of the American Statistical Association
Journal of the American Statistical Association

The Journal of the American Statistical Association is the most prestigious journal published by the American Statistical Association, the main professional body for statisticians in the United States....
, volume 53, pages 457-481
Description: First description of the now ubiquitous Kaplan-Meier estimator
Kaplan-Meier estimator

The Kaplan-Meier estimator estimates the survival function from life-time data. In medical research, it might be used to measure the fraction of patients living for a certain amount of time after treatment....
 of survival functions from data with censored observations
Importance: Breakthrough, Influence


A generalized Wilcoxon test for comparing arbitrarily singly-censored samples
Author: Gehan, EA
Publication data: 1965 , Biometrika
Biometrika

Biometrika is a scientific journal principally covering theoretical statistics....
, volume 52, pages 203-223
Description: First presentation of the extension of the Wilcoxon rank-sum test
Mann-Whitney U

In statistics, the Mann?Whitney U test is a non-parametric statistics test for assessing whether two independent sampling of observations come from the same distribution....
 to censored data
Importance: Influence


Evaluation of survival data and two new rank order statistics arising in its consideration
Author: Mantel, N
Nathan Mantel

Nathan Mantel was a biostatistician best known for his work with William Haenszel which led to the Mantel-Haenszel test and its associated estimate, the Mantel-Haenszel odds ratio....
Publication data: 1966, Cancer Chemotherapy Reports, volume 50, pages 163-170. PMID 5910392
Description: Development of the logrank test
Logrank test

In statistics, the logrank test is a hypothesis test to compare the survival analysis distributions of two samples. It is a nonparametric test and appropriate to use when the data are right censored ....
 for censored survival data.
Importance: Topic creator, Breakthrough, Influence


Regression Models and Life Tables
Author: Cox, DR
David Cox (statistician)

Sir David Roxbee Cox Fellow of the Royal Society is a British people statistician.He studied mathematics at St John's College, Cambridge of the University of Cambridge and obtained his Ph.D....
Publication data: 1972, Journal of the Royal Statistical Society
Journal of the Royal Statistical Society

The Journal of the Royal Statistical Society is a series of three peer-reviewed statistics journals published by Blackwell Publishing for the London-based Royal Statistical Society....
, Series B, volume 34, pages 187-220
Description: Seminal paper introducing semi-parametric proportional hazards models
Proportional hazards models

GeneralProportional hazards models are a sub-class of survival analysis in statistics.For the purposes of this article, consider survival models to consist of two parts: the underlying hazard function, describing how hazard changes over time, and the effect parameters, describing how hazard relates to other factors - such as the choi...
 (Cox models) for survival data
Importance: Topic creator, Breakthrough, Influence


The Statistical Analysis of Failure Time Data
Author: Kalbfleisch, JD and Prentice, RL
Publication data: 1980, John Wiley & Sons
John Wiley & Sons

John Wiley & Sons, Inc., also referred to as Wiley, is a global publishing company that markets its products to professionals and consumers, students and instructors in higher education, and researchers and practitioners in scientific, technical, medical, and scholarly fields....
, New York
Description: First comprehensive text covering the methods of estimation and inference for time to event analyses
Importance: Influence


Meta analysis


Report on Certain Enteric Fever Inoculation Statistics
Author: Pearson, K
Karl Pearson

Karl Pearson Fellow of the Royal Society established the disciplineof mathematical statistics.In 1911 he founded the world's first university statistics department at University College London....
Publication data: 1904, British Medical Journal
British Medical Journal

BMJ is an open access medical journal. It is among the most influential and widely read Peer review general academic journals in the field of medicine in the world....
, volume 2, pages 1243-1246
Description: Generally considered to be the first synthesis of results from separate studies, although no formal statistical methods for combining results are presented.
Importance: Breakthrough, Influence


The Probability Integral Transformation for Testing Goodness of Fit and Combining Independent Tests of Significance
Author: Pearson, ES
Egon Pearson

Egon Sharpe Pearson was the only son of Karl Pearson, and like his father, a leading British statistician. He went to Winchester School and Trinity College, Cambridge, and succeeded his father as professor of statistics at University College London and as editor of the journal Biometrika....
Publication data: 1938 Biometrika
Biometrika

Biometrika is a scientific journal principally covering theoretical statistics....
, volume 30, pages 134-148
Description: One of the first published methods for formally combining results from different experiments
Importance: Breakthrough, Influence


Combining Independent Tests of Significance
Author: Fisher, RA
Ronald Fisher

Sir Ronald Aylmer Fisher, Fellow of the Royal Society was an England statistician, evolutionary biologist, and genetics. He was described by Anders Hald as "a genius who almost single-handedly created the foundations for modern statistical science" and Richard Dawkins described him as "the greatest of Charles Darwin successors"....
Publication data: 1948, The American Statistician
The American Statistician

The American Statistician, established in 1947, is an American magazine published quarterly by the American Statistical Association....
, volume 2, page 30
Description: One of the first published methods for formally combining results from different experiments
Importance: Breakthrough, Influence


The combination of estimates from different experiments
Author: Cochran, WG
William Gemmell Cochran

William Gemmell Cochran was a prominent statistics; he was born in Scotland but spent most of his life in the United States.Cochran studied mathematics at the University of Glasgow and the University of Cambridge....
Publication data: 1954, Biometrics
Biometrics

Biometrics refers to two different fields of study and application:In biological studies it refers to the collection, synthesis, analysis and management of data in biology....
, volume 10, page 101-129
Description: A comprehensive treatment of the various methods for formally combining results from different experiments
Importance: Breakthrough, Influence


Experimental design


The Design of Experiments
The Design of Experiments

The Design of Experiments is a 1935 book by the British statistician R.A. Fisher, which effectively founded the field of experimental design....
Author: Fisher, RA
Ronald Fisher

Sir Ronald Aylmer Fisher, Fellow of the Royal Society was an England statistician, evolutionary biologist, and genetics. He was described by Anders Hald as "a genius who almost single-handedly created the foundations for modern statistical science" and Richard Dawkins described him as "the greatest of Charles Darwin successors"....
Publication data: 1935, Oliver and Boyd, Edinburgh
Description: The first comprehensive text on experimental design
Importance: Influence


Experimental Designs
Author: Cochran, WG
William Gemmell Cochran

William Gemmell Cochran was a prominent statistics; he was born in Scotland but spent most of his life in the United States.Cochran studied mathematics at the University of Glasgow and the University of Cambridge....
 and Cox, GM
Gertrude Mary Cox

Gertrude Mary Cox was an influential United States statistics and founder of the department of Experimental Statistics at North Carolina State University....
Publication data: 1950, John Wiley & Sons
John Wiley & Sons

John Wiley & Sons, Inc., also referred to as Wiley, is a global publishing company that markets its products to professionals and consumers, students and instructors in higher education, and researchers and practitioners in scientific, technical, medical, and scholarly fields....
, New York
Description: One of the first comprehensive texts on experimental design
Importance: Influence


See also



External links