Definition of Multivariate

1. Adjective. Pertaining to any procedure involving two or more variables.

Category relationships: Statistics
Similar to: Variable



Definition of Multivariate

1. Adjective. Having or involving multiple variables. ¹

2. Noun. (mathematics) A vector, each of whose elements is a variate. ¹

¹ Source: wiktionary.com

Definition of Multivariate

1. [adj]

Multivariate Pictures

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Lexicographical Neighbors of Multivariate

multivalences
multivalency
multivalent
multivalent vaccine
multivalents
multivalley
multivalue
multivalued
multivaluedness
multivalve
multivalves
multivalvular
multivariable
multivariance
multivariant
multivariate (current term)
multivariate analysis
multivariate studies
multivariates
multivarious
multivector
multivectors
multivegetable
multivehicle
multivendor
multivenue
multiverb
multiversal
multiversant
multiverse

Literary usage of Multivariate

Below you will find example usage of this term as found in modern and/or classical literature:

1. Topics in Statistical Dependence by Henry W. Block, Allan R. Sampson, Thomas H. Savits (1990)
"These distributions are infinitely divisible, and the multivariate gamma class ... Parallel classes of multivariate geometric and multivariate negative ..."

2. Stochastic Orders and Decision Under Risk by Karl C. Mosler, Marco Scarsini (1991)
"More general multivariate compositions of the form § h(x)f(x \ 0)n(dx) also arise. Here several important convolution and composition theorems will be ..."

3. The Relationship Between Family Structure & Adolescent Substance Use by Robert A. Johnson, John P. Hoffman, Dean R. Gerstein (1996)
"4.1 Introduction This chapter applies multivariate logistic regression models to ... Two key questions motivated the use of the multivariate models in this ..."

4. L1-statistical Procedures and Related Topics by Yadolah Dodge (1997)
"Some of the statistical properties of the proposed multivariate rank ... 1 Introduction: multivariate linear model and rank regression Linear model is a ..."

5. Stochastic Inequalities by Moshe Shaked, Yung Liang Tong (1992)
"IMS Lecture Notes - Monograph Series Volume 22 (1993) LOWER BOUNDS ON multivariate DISTRIBUTIONS WITH PREASSIGNED MARGINALS By S. KOTZ and JP SEEGER ..."

6. Geometry and Identification: Proceedings of Apsm Workshop on System Geometry by Peter E. Caines, Robert Hermann (1983)
"When identifying a (state-space or ARMA) model for a multivariate stationary stochastic process using a black-box approach, the first problem consists in ..."

7. Recent Developments in Multiple Comparison Procedures by Yoav Benjamini, Frank Bretz, S. K. Sarkar (2004)
"These facts motivate us to look at and compare different approximations to multivariate normal and t probabilities. The paper is organized as follows. ..."

8. Topics in Statistical Dependence by Henry W. Block, Allan R. Sampson, Thomas H. Savits (1990)
"These distributions are infinitely divisible, and the multivariate gamma class ... Parallel classes of multivariate geometric and multivariate negative ..."

9. Stochastic Orders and Decision Under Risk by Karl C. Mosler, Marco Scarsini (1991)
"More general multivariate compositions of the form § h(x)f(x \ 0)n(dx) also arise. Here several important convolution and composition theorems will be ..."

10. The Relationship Between Family Structure & Adolescent Substance Use by Robert A. Johnson, John P. Hoffman, Dean R. Gerstein (1996)
"4.1 Introduction This chapter applies multivariate logistic regression models to ... Two key questions motivated the use of the multivariate models in this ..."

11. L1-statistical Procedures and Related Topics by Yadolah Dodge (1997)
"Some of the statistical properties of the proposed multivariate rank ... 1 Introduction: multivariate linear model and rank regression Linear model is a ..."

12. Stochastic Inequalities by Moshe Shaked, Yung Liang Tong (1992)
"IMS Lecture Notes - Monograph Series Volume 22 (1993) LOWER BOUNDS ON multivariate DISTRIBUTIONS WITH PREASSIGNED MARGINALS By S. KOTZ and JP SEEGER ..."

13. Geometry and Identification: Proceedings of Apsm Workshop on System Geometry by Peter E. Caines, Robert Hermann (1983)
"When identifying a (state-space or ARMA) model for a multivariate stationary stochastic process using a black-box approach, the first problem consists in ..."

14. Recent Developments in Multiple Comparison Procedures by Yoav Benjamini, Frank Bretz, S. K. Sarkar (2004)
"These facts motivate us to look at and compare different approximations to multivariate normal and t probabilities. The paper is organized as follows. ..."

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