💡 Words with a Similar Meaning to "Multinomial test"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| binomial test | an exact test of the statistical significance of deviations from a theoretically expected distribution of observations into two categories using sample data. |
| null distribution | In statistical hypothesis testing, the null distribution is the probability distribution of the test statistic when the null hypothesis is true. |
| student's t-testnoun | Alternative form of Student's t test. [(statistics) Any statistical hypothesis test in which the test statistic has a Student's t-distribution if the null hypothesis is true.] |
| multinomial probit | In statistics and econometrics, the multinomial probit model is a generalization of the probit model used when there are several possible categories that the dependent variable can fall into. |
| multivariate t-distribution | In statistics, the multivariate t-distribution (or multivariate Student distribution) is a multivariate probability distribution. |
| chi-squared test | A chi-squared test (also chi-square or test) is a statistical hypothesis test used in the analysis of contingency tables when the sample sizes are large. |
| statistical hypothesis testing | — |
| power of a test | — |
| two-sample hypothesis testing | In statistical hypothesis testing, a two-sample test is a test performed on the data of two random samples, each independently obtained from a different given population. |
| pearson's chi-squared test | Pearson's chi-squared test or Pearson's test is a statistical test applied to sets of categorical data to evaluate how likely it is that any observed difference between the sets arose by chance. |
| multinomial logistic regression | In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two possible discrete outcomes. |
| normality test | In statistics, normality tests are used to determine if a data set is well-modeled by a normal distribution and to compute how likely it is for a random variable underlying the data set to be normally distributed. |
| score test | In statistics, the score test assesses constraints on statistical parameters based on the gradient of the likelihood function—known as the score—evaluated at the hypothesized parameter value under the null hypothesis. |
| test statistic | a quantity derived from the sample for statistical hypothesis testing. |
| one-way analysis of variance | In statistics, one-way analysis of variance (or one-way ANOVA) is a technique to compare whether two or more samples' means are significantly different (using the F distribution). |
| exact test | An exact (significance) test is a statistical test such that if the null hypothesis is true, then all assumptions made during the derivation of the distribution of the test statistic are met. |
| multivariate analysis of variance | In statistics, multivariate analysis of variance is a procedure for comparing multivariate sample means. |
| f-test of equality of variances | In statistics, an F-test of equality of variances is a test for the null hypothesis that two normal populations have the same variance. |
| probability distributionnoun | (statistics) A distribution of all possible values of a random variable together with an indication of their probabilities. |
| estimating equations | In statistics, the method of estimating equations is a way of specifying how the parameters of a statistical model should be estimated. |
Translate “Multinomial test” into Another Language
Pick a language — the word will be pre-filled in the translator.