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Learn about probit in R with data from the Cooperative Congressional Election Study (2012) / The Odum Institute.

Medverkande: Materialtyp: TextUtgivningsuppgift: London : SAGE Publications, 2016Beskrivning: 1 online resource : illustrations (colour)Innehållstyp:
  • text
  • still image
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9781473961937 (online resource) :
Ämnen: DDK-klassifikation:
  • 001.422 23
Onlineresurser: This dataset example introduces readers to probit regression. This technique allows researchers to evaluate whether a dichotomous dependent variable is a function of one or more independent variables. The probit model is most commonly estimated via maximum likelihood estimation (MLE). The probit model is similar in many ways to the logistic regression, or logit, model. While probit assumes a normal distribution and logit assumes a logistic distribution, the substantive results from estimating a logit versus a probit model are typically quite similar.
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Includes bibliographical references.

This dataset example introduces readers to probit regression. This technique allows researchers to evaluate whether a dichotomous dependent variable is a function of one or more independent variables. The probit model is most commonly estimated via maximum likelihood estimation (MLE). The probit model is similar in many ways to the logistic regression, or logit, model. While probit assumes a normal distribution and logit assumes a logistic distribution, the substantive results from estimating a logit versus a probit model are typically quite similar.

Specialized.

Description based on online resource; title from home page (viewed on January 8, 2016).

Licensed e-book