A flexible distribution class for count data

DOI10.1186/s40488-017-0077-0zbMath1386.60063OpenAlexW2759322443WikidataQ59611217 ScholiaQ59611217MaRDI QIDQ1690087

Kimberly S. Weems, Andrew W. Swift, Kimberly F. Sellers

Publication date: 18 January 2018

Published in: Journal of Statistical Distributions and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s40488-017-0077-0

zbMATH Keywords

Poisson distributionnegative binomial distributionbinomial distributiongeometric distributionBernoulli distributionover-dispersionunder-dispersionConway-Maxwell-Poisson distribution

Mathematics Subject Classification ID

Point estimation (62F10) Probability distributions: general theory (60E05)

Related Items (7)

Correction to: ``A flexible distribution class for count data ⋮ A flexible bivariate distribution for count data expressing data dispersion ⋮ A Conway-Maxwell-multinomial distribution for flexible modeling of clustered categorical data ⋮ Uniformly most powerful unbiased tests for the dispersion parameter of the Conway-Maxwell-Poisson distribution ⋮ A Flexible Univariate Autoregressive Time‐Series Model for Dispersed Count Data ⋮ Unnamed Item ⋮ Hybrid Machine Learning and Geographic Information Systems Approach — A Case for Grade Crossing Crash Data Analysis

Uses Software

• R
• MASS (R)
• boot
• numDeriv

Cites Work

• Unnamed Item
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• A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution
• Bridging the Gap: A Generalized Stochastic Process for Count Data

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