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binomial regression造句

例句與造句

  1. Binary probabilistic classifiers are also called binomial regression models in statistics.
  2. In one published example of an application of binomial regression, the details were as follows.
  3. Binomial regression models are essentially the same as binary choice models, one type of discrete choice model.
  4. The traditional negative binomial regression model, commonly known as NB2, is based on the Poisson-gamma mixture distribution.
  5. "' Negative binomial regression "'is a popular generalization of Poisson regression because it loosens the highly restrictive assumption that the variance is equal to the mean made by the Poisson model.
  6. It's difficult to find binomial regression in a sentence. 用binomial regression造句挺難的
  7. Poisson regression and negative binomial regression are useful for analyses where the dependent ( response ) variable is the count ( 0, 1, 2, & ) of the number of events or occurrences in an interval.
  8. In negative binomial regression, the distribution is specified in terms of its mean, m = \ frac { pr } { 1-p }, which is then related to explanatory variables as in linear regression or other Generalized linear models.
  9. The primary difference is in the theoretical motivation : Discrete choice models are motivated using utility theory so as to handle various types of correlated and uncorrelated choices, while binomial regression models are generally described in terms of the generalized linear model, an attempt to generalize various types of linear regression models.
  10. The linear probability model is not a proper binomial regression specification because predictions need not be in the range of zero to one; it is sometimes used for this type of data when the probability space is where interpretation occurs or when the analyst lacks sufficient sophistication to fit or calculate approximate linearizations of probabilities for interpretation.
  11. This is a special case of the class of generalized linear models which also contains specific forms of model capable of using the binomial distribution ( binomial regression, logistic regression ) or the negative binomial distribution where the assumptions of the Poisson model are violated, in particular when the range of count values is limited or when overdispersion is present.
  12. Among his most influential books are two editions of " Negative Binomial Regression " ( Cambridge University Press, 2007, 2011 ), " Modeling Count Data " ( Cambridge University Press, 2014 ), and " Logistic Regression Models " ( Chapman & Hall / CRC, 2009 ) . " Modeling Count Data " won the 2015 PROSE honorable mention award for books in mathematics as the second best mathematics book published in 2014.

相鄰詞匯

  1. "binomial probability distribution"造句
  2. "binomial probability paper"造句
  3. "binomial proportion confidence interval"造句
  4. "binomial qmf"造句
  5. "binomial random variable"造句
  6. "binomial sampling"造句
  7. "binomial series"造句
  8. "binomial sum variance inequality"造句
  9. "binomial system"造句
  10. "binomial system of nomenclature"造句
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