Military dictionary. 2000.
Joint distribution of X and Y — ▪ Table Joint distribution of X and Y i row sum = g(j) 2 3 4 5 6 7 8 9 10 11 12 0 1/36 0 1/18 0 1/12 0 1/18 0 1/36 0 0 1/4 j 1 0 1/18 0 1/9 0 1/6 0 1/9 0 1/18 0 1/2 2 0 0 1/36 0 1/18 0 1/12 0 1/18 0 1/36 1/4 column sum = f(i) 1/36 1/18 1/12 1/9 … Universalium
Distribution of white South Africans — White South Africans as a proportion of the total population. … Wikipedia
Marginal distribution — In probability theory and statistics, the marginal distribution of a subset of a collection of random variables is the probability distribution of the variables contained in the subset. The term marginal variable is used to refer to those… … Wikipedia
Frequency distribution — In statistics, a frequency distribution is an arrangement of the values that one or more variables take in a sample. Each entry in the table contains the frequency or count of the occurrences of values within a particular group or interval, and… … Wikipedia
Normal distribution — This article is about the univariate normal distribution. For normally distributed vectors, see Multivariate normal distribution. Probability density function The red line is the standard normal distribution Cumulative distribution function … Wikipedia
Chi-squared distribution — This article is about the mathematics of the chi squared distribution. For its uses in statistics, see chi squared test. For the music group, see Chi2 (band). Probability density function Cumulative distribution function … Wikipedia
Hypergeometric distribution — Hypergeometric parameters: support: pmf … Wikipedia
Contingency table — In statistics, a contingency table (also referred to as cross tabulation or cross tab) is a type of table in a matrix format that displays the (multivariate) frequency distribution of the variables. It is often used to record and analyze the… … Wikipedia
Noncentral t-distribution — Noncentral Student s t Probability density function parameters: degrees of freedom noncentrality parameter support … Wikipedia
Negative multinomial distribution — notation: parameters: k0 ∈ N0 the number of failures before the experiment is stopped, p ∈ Rm m vector of “success” probabilities, p0 = 1 − (p1+…+pm) the probability of a “failure”. support … Wikipedia
