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According to whom? Spousal, household, and plot differences in improved cassava variety adoption in Nigeria

PLANTS, PEOPLE, PLANET, EarlyView.
Agricultural innovations underpin most investments that aim to increase agricultural productivity globally. Improved crop varieties have historically constituted the bulwark of agricultural innovation outputs and are credited with the success of large‐scale interventions such as the Green Revolution. Much research has shown, however, that gender shapes
Jing Yi, Jeisson Prieto, Elisabeth Garner, Hale Ann Tufan   +3 more
wiley   +1 more source

Weighted likelihood negative binomial regression

, 2013
Amiguet, Michael, Marazzi, Alfio, Yohai, Victor   +2 more
openaire   +1 more source

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Hurdle Negative Binomial Regression Model

ICSA - International Conference on Statistics and Analytics 2019, 2021
Poisson regression is a common regression model used for count data with equidispersion. However, in real data application, overdispersion often encountered, suggesting the seek for alternative model to the Poisson regression. In overdispersion data due to excess zeros and additional overdispersion in positive values, one of alternative model that can ...
Ayu Andika, Sarini Abdullah, Siti Nurrohmah   +2 more
openaire   +1 more source

Negative Binomial Regression

2007
This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with
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A Jackknifed estimators for the negative binomial regression model

Communications in Statistics - Simulation and Computation, 2017
AbstractShrinkage estimator is a commonly applied solution to the general problem caused by multicollinearity. Recently, the ridge regression (RR) estimators for estimating the ridge parameter k in the negative binomial (NB) regression have been proposed. The Jackknifed estimators are obtained to remedy the multicollinearity and reduce the bias.
Semra Türkan, Gamze Özel
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Geographically Weighted Negative Binomial Regression—incorporating overdispersion

Statistics and Computing, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alan Ricardo da Silva, Thais Carvalho Valadares Rodrigues   +1 more
openaire   +1 more source

Semiparametric Negative Binomial Regression Models

Communications in Statistics - Simulation and Computation, 2010
Negative-binomial (NB) regression models have been widely used for analysis of count data displaying substantial overdispersion (extra-Poisson variation). However, no formal lack-of-fit tests for a postulated parametric model for a covariate effect have been proposed. Therefore, a flexible parametric procedure is used to model the covariate effect as a
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Seemingly Unrelated Negative Binomial Regression

Oxford Bulletin of Economics and Statistics, 2000
This paper discusses the specification and estimation of seemingly unrelated multivariate count data models. A new model with negative binomial marginals is proposed. In contrast to a previous model based on the multivariate Poisson distribution, the new model allows for over‐dispersion, a phenomenon that is frequently encountered in economic count ...
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Overdispersed negative binomial regression models

Communications in Statistics - Theory and Methods, 1992
Overdispersion is a common phenomenon in actual data sets. It is important to have methods of dealing with extra variation in regression situations. This article develops tests for extra-negative binomial variation and gives some numerical methods to deal with it.
Dixi Xue, James A. Deddens
openaire   +1 more source