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Notation in probability and statistics

Probability theory and statistics have some commonly used conventions, in addition to standard mathematical notation and mathematical symbols.

Contents

Probability theory

  • Random variables are usually written in upper case roman letters: X, Y, etc.
  • Particular realizations of a random variable are written in corresponding lower case letters. For example x1, x2, …, xn could be a sample corresponding to the random variable X.
  • P(A \cap B) or P[A \cap B] indicates the probability that events A and B both occur.
  • P(A \cup B) or P[A \cup B] indicates the probability of either event A or event B occurring ("or" in this case means one or the other or both).
  • σ-algebras are usually written with upper case calligraphic (e.g. \mathcal F for the set of sets on which we define the probability P)
  • Probability density functions (pdfs) and probability mass functions are denoted by lower case letters, e.g. f(x).
  • Cumulative distribution functions (cdfs) are denoted by upper case letters, e.g. F(x).
  • In particular, the pdf of the standard normal distribution is denoted by φ(z), and its cdf by Φ(z).
  • Some common operators:
  • E[X] : expected value of X
  • var[X] : variance of X
  • cov[X, Y] : covariance of X and Y

Statistics

  • Greek letters (e.g. θ, β) are commonly used to denote unknown parameters (population parameters).
  • An estimate of a parameter is often denoted by placing a caret over the corresponding symbol, e.g. \hat{\theta}, pronounced "theta hat".
  • Some commonly used symbols for sample statistics are given below:
    • the sample mean \bar{x},
    • the sample variance s2,
    • the sample correlation coefficient r,
    • the sample cumulants kr.
  • Some commonly used symbols for population parameters are given below:
    • the population mean μ,
    • the population variance σ2,
    • the population correlation ρ,
    • the population cumulants κr.
  • The arithmetic mean of a set of numbers x1, x2, ..., xn is denoted by \bar{x}, pronounced "x bar".

Critical values

The α-level upper critical value of a probability distribution is the value exceeded with probability α, that is, the value xα such that F(xα) = 1 − α where F is the cumulative distribution function. There are standard notations for the upper critical values of some commonly used distributions in statistics:

  • zα or z(α) for the Standard normal distribution
  • tα,ν or t(α,ν) for the t-distribution with ν degrees of freedom
  • \chi^2_{\alpha,\nu} or \chi^2(\alpha,\nu) for the chi-squared distribution with ν degrees of freedom
  • F_{\alpha,\nu_1,\nu_2} or F(α,ν12) for the F-distribution with ν1 and ν2 degrees of freedom

Linear algebra

  • Matrices are usually denoted by boldface capital letters, e.g. A.
  • Column vectors are usually denoted by boldface lower case letters, e.g. x.
  • The transpose operator is denoted by either a superscript T (e.g. AT) or a prime symbol (e.g. A′).
  • A row vector is written as the transpose of a column vector, e.g. xT or x′.

Abbreviations

Common abbreviations include:

  • a.e. almost everywhere
  • a.s. almost surely
  • cdf cumulative distribution function
  • cmf cumulative mass function
  • df degrees of freedom (also \nu)
  • i.i.d. independent and identically distributed
  • pdf probability density function
  • pmf probability mass function
  • r.v. random variable
  • w.p. with probability; wp1 with probability 1

See also

References

  • Halperin, Max; Hartley, H. O.; Hoel, P. G. (1965), "Recommended Standards for Statistical Symbols and Notation. COPSS Committee on Symbols and Notation", The American Statistician 19 (3): 12–14, doi:10.2307/2681417, JSTOR 2681417

External links

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