On goodness-of-fit tests for the Bell distribution

No abstract is available for this paper.

• Publication year

  2020

• Venue

  Metrika (Heidelberg)

• Publication date

  2020-04-01

• Fields of study

  Mathematics

• Identifiers
  DOI 10.1007/S00184-019-00733-6
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Testing for the Poisson-Tweedie distribution

  2019cited by this paper
• On the Bell distribution and its associated regression model for count data

  2018cited by this paper
• Minimum distance estimators for count data based on the probability generating function with applications

  2017cited by this paper
• A new count data model with Application in Genetics and Ecology

  2016cited by this paper
• A goodness-of-fit test for the multivariate Poisson distribution

  2016cited by this paper
• Testing for the bivariate Poisson distribution

  2014cited by this paper
• R: A language and environment for statistical computing.

  2014cited by this paper
• A WARP-SPEED METHOD FOR CONDUCTING MONTE CARLO EXPERIMENTS INVOLVING BOOTSTRAP ESTIMATORS

  2013cited by this paper
• NIST Handbook of Mathematical Functions

  2010cited by this paper
• New inference procedures for generalized Poisson distributions

  2008cited by this paper
• Goodness-of-Fit Tests for Additively Closed Count Models with an Application to the Generalized Hermite Distribution

  2005cited by this paper
• GLOBAL POWER FUNCTIONS OF GOODNESS OF FIT TESTS

  2000cited by this paper
• Recent and classical goodness-of-fit tests for the Poisson distribution

  2000cited by this paper
• Central limit theorems revisited

  2000cited by this paper
• Tests of fit for discrete distributions based on the probability generating function

  1999cited by this paper
• Loss Models: From Data to Decisions

  1998cited by this paper
• On the LambertW function

  1996cited by this paper
• A test of fit for lattice distributions

  1995cited by this paper
• Use of an empirical probability generating function for testing a Poisson model

  1993cited by this paper
• Empirical probability generating function: An overview

  1993cited by this paper
• A goodness of fit test for the Poisson distribution based on the empirical generating function

  1992cited by this paper
• Heine-euler extensions of the poisson distribution

  1992cited by this paper
• Goodness of fit for the poisson distribution based on the probability generating function

  1991cited by this paper
• Goodness of fit tests for discrete distributions

  1986cited by this paper
• The estimation of the parameters of a negative binomial distribution with special reference to psychological data

  1951cited by this paper

• New goodness of fit tests for the Pareto distribution using Stein’s characterization for uncensored and random right censored data

  2025cites this paper
• A new characterization of the one-sided Lévy distribution and associated goodness-of-fit tests

  2025cites this paper
• Testing for the zero‐altered Poisson distribution with positive data

  2025cites this paper
• A mixed Bell regression model for overdispersed medical count data

  2025cites this paper
• On the application of Ferguson characterization for the construction of a goodness-of-fit test for the geometric distribution

  2025cites this paper
• New classes of goodness‐of‐fit tests for the one‐sided Lévy distribution

  2024cites this paper
• Goodness-of-fit tests for generalized Poisson distributions

  2024cites this paper
• Higher order asymptotic refinements in Bell regressions

  2022cites this paper
• Quantifying the ratio-plot for the geometric distribution

  2021cites this paper
• Goodness-of-fit test for count distributions with finite second moment

  2021cites this paper
• Omnibus goodness-of-fit tests for count distributions

  2021cites this paper
• A New First-Order Integer-Valued Autoregressive Model with Bell Innovations

  2021cites this paper
• The Iterated Weighted Least-Squares Histogram Fit

  2018cites this paper