multivariable

(adjective)

concerning more than one variable

Related Terms

  • critical point

Examples of multivariable in the following topics:

  • Functions of Several Variables

    • Multivariable calculus is the extension of calculus in one variable to calculus in more than one variable.
    • Multivariable calculus (also known as multivariate calculus) is the extension of calculus in one variable to calculus in more than one variable : the differentiated and integrated functions involve multiple variables, rather than just one.
    • Multivariable calculus can be applied to analyze deterministic systems that have multiple degrees of freedom.
    • Quantitative analysts in finance also often use multivariate calculus to predict future trends in the stock market.
    • As we will see, multivariable functions may yield counter-intuitive results when applied to limits and continuity.
  • Multivariate Testing

    • In this case a single multivariate test is preferable for hypothesis testing.
    • In particular, the distribution arises in multivariate statistics in undertaking tests of the differences between the (multivariate) means of different populations, where tests for univariate problems would make use of a $t$-test.
    • For a one-sample multivariate test, the hypothesis is that the mean vector ($\mu$) is equal to a given vector (${ \mu }_{ 0 }$).
    • For a two-sample multivariate test, the hypothesis is that the mean vectors (${ \mu }_{ 1 },{ \mu }_{ 2 }$) of two samples are equal.
  • Limits and Continuity

    • A study of limits and continuity in multivariable calculus yields counter-intuitive results not demonstrated by single-variable functions.
    • A study of limits and continuity in multivariable calculus yields many counter-intuitive results not demonstrated by single-variable functions .
    • Continuity in each argument does not imply multivariate continuity.
    • However, continuity in multivariable functions yields many counter-intuitive results.
    • Describe the relationship between the multivariate continuity and the continuity in each argument
  • Applications of Minima and Maxima in Functions of Two Variables

    • Finding extrema can be a challenge with regard to multivariable functions, requiring careful calculation.
    • We have learned how to find the minimum and maximum in multivariable functions.
    • As previously mentioned, finding extrema can be a challenge with regard to multivariable functions.
    • Identify steps necessary to find the minimum and maximum in multivariable functions
  • Maximum and Minimum Values

    • The second partial derivative test is a method in multivariable calculus used to determine whether a critical point $(a,b, \cdots )$ of a function $f(x,y, \cdots )$ is a local minimum, maximum, or saddle point.
  • Introduction

    • In reality, statisticians use multivariate data, meaning many variables.
  • Repeated Measures Design

    • The rANOVA also requires that certain multivariate assumptions are met because a multivariate test is conducted on difference scores.
    • Multivariate normality: The difference scores are multivariately normally distributed in the population.
    • Multivariate Test: This test does not assume sphericity, but is also highly conservative.
  • Statistical Graphics

    • • Multivariate distribution and correlation in the late 19th and 20th century.
  • An Intuitive Approach to Relationships

    • In reality, statisticians use multivariate data, meaning many variables.
  • Slope and Intercept

    • (This term should be distinguished from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable).
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