GENERALIZED LINEAR MODELS FOR POSITIVE COUNT DATA

Martin S. RIDOUT[1]

  Clarice G. B. DEMÉTRIO[2]

§    ABSTRACT: Generalized linear models are commonly used to analyze count data that arise from the Poisson distribution. This paper indicates how the analysis is modified when the count data exclude zeros. The methodology is applied to the analysis of data from a tissue culture experiment.

§    KEYWORDS: Count data; Generalized Linear Models; Positive Poisson distribution; Truncated Poisson distribution.

 



[1]Horticulture Research International – East Malling – West Malling – KENT – ME19 6BJ – UK.

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[2] Instituto de Ciências Matemáticas de São Carlos - USP - 13560-970 - São Carlos - SP - Brasil.