Concepedia

Finite Mixture Count Models

Finite Mixture Count Models is a statistical modeling framework that belongs to the class of count data models and is distinguished by its incorporation of a finite number of latent subpopulations, each governed by a distinct count distribution, to account for unobserved heterogeneity in count response data.

86

Publications

6.1K

Citations

202

Authors

133

Institutions

Publications per year

2017–2026

16

Parents

Publications

86

Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator

João Santos Silva, Silvana Tenreyro · Economics Letters · 2011 · 1.1K citations

, , +15

DEMAND FOR MEDICAL CARE BY THE ELDERLY: A FINITE MIXTURE APPROACH

Partha Deb, Pravin K. Trivedi · Journal of Applied Econometrics · 1997 · 498 citations

, , +13

On the Reliability of N-mixture Models for Count Data

Richard Barker, Matthew Schofield, William A. Link et al. · Biometrics · 2017 · 274 citations

, , +15

A latent class poisson regression model for heterogeneous count data

Matt Wedel, Wayne S. DeSarbo, Jan Roelf Bult et al. · Journal of Applied Econometrics · 1993 · 209 citations

, , +16

Visualizing Count Data Regressions Using Rootograms

The American Statistician · 2016 · 186 citations · Full text

, , +17

1–5 of 86

Authors

202

  1. NB
    Nizar Bouguila

    Concordia University, Canada

    5 publications · 277 citations

    5

    h-index

  2. DL
    Dominique Lord

    Texas A&M University, United States

    5 publications · 329 citations

    5

    h-index

  3. DB
    Dankmar Böhning

    University of Southampton, United Kingdom

    3 publications · 217 citations

    3

    h-index

  4. AH
    Andy H. Lee

    Curtin University, Australia

    3 publications · 36 citations

    3

    h-index

  5. YZ
    Yajie Zou

    Tongji University, China

    3 publications · 222 citations

    3

    h-index

1–5 of 202

Institutions

133

  1. Concordia University

    Montreal, Canada

    5 h-index

    6 publications

    295 citations

  2. Texas A&M University

    College Station, United States

    5 h-index

    11 publications

    785 citations

  3. University of Michigan

    Ann Arbor, United States

    4 h-index

    5 publications

    494 citations

  4. United States Geological Survey

    Reston, United States

    4 h-index

    7 publications

    940 citations

  5. Sapienza University of Rome

    Rome, Italy

    4 h-index

    5 publications

    178 citations

  6. Pennsylvania State University

    State College, United States

    3 h-index

    4 publications

    98 citations

  7. Istituto Nazionale di Statistica

    Rome, Italy

    3 h-index

    3 publications

    130 citations

  8. City University of Hong Kong

    Hong Kong, Hong Kong

    3 h-index

    6 publications

    75 citations

1–8 of 133

Venues

  1. Biometrics

    5 publications · 420 citations

    5

    h-index

  2. Computational Statistics & Data Analysis

    CSDA · 4 publications · 198 citations

    4

    h-index

  3. Biometrical Journal

    4 publications · 206 citations

    4

    h-index

  4. Accident Analysis & Prevention

    3 publications · 197 citations

    3

    h-index

  5. Statistics in Medicine

    3 publications · 181 citations

    3

    h-index

1–5