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Zero inflated Waring distribution
Communications in Statistics - Simulation and Computation, 2021Zero inflated distributions are used in a wide variety of phenomena, particularly when the response variable exhibits an excessive number of zeros.
Luisa Rivas, Francisca Campos
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Tests for zero inflation in a bivariate zero‐inflated Poisson model
Statistica Neerlandica, 2009The score test statistics for testing zero inflation and covariance parameter are proposed in the bivariate zero‐inflated Poisson (BZIP) regression model. The Monte Carlo studies show that the score test and likelihood ratio test for testing zero inflation underestimate the nominal significance level, while the score test for covariance parameter keeps
Lee, JungBok +2 more
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The analysis of zero‐inflated count data: Beyond zero‐inflated Poisson regression.
British Journal of Mathematical and Statistical Psychology, 2011Infrequent count data in psychological research are commonly modelled using zero‐inflated Poisson regression. This model can be viewed as a latent mixture of an “always‐zero” component and a Poisson component. Hurdle models are an alternative class of two‐component models that are seldom used in psychological research, but clearly separate the zero ...
Loeys, Tom +3 more
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Attribute Charts for Zero-Inflated Processes
Communications in Statistics - Simulation and Computation, 2008The classical Shewhart c-chart and p-chart which are constructed based on the Poisson and binomial distributions are inappropriate in monitoring zero-inflated counts. They tend to underestimate the dispersion of zero-inflated counts and subsequently lead to higher false alarm rate in detecting out-of-control signals. Another drawback of these charts is
C. H. Sim, M. H. Lim
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Smooth Tests for the Zero‐Inflated Poisson Distribution
Biometrics, 2005Summary In this article we construct three smooth goodness‐of‐fit tests for testing for the zero‐inflated Poisson (ZIP) distribution against general smooth alternatives in the sense of Neyman. We apply our tests to a data set previously claimed to be ZIP distributed, and show that the ZIP is not a good model to describe the data.
Rayner, J. C. W, Thas, Olivier
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On the Costs of Zero Inflation
Économie appliquée, 1995The costs of inflation under the demand curve for money are vanishingly small since one deals only with currency, itself endogenous, because in Canada and other leading countries, non-interest bearing cash reserves as part of fiat money no longer exist.
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The case for zero inflation [PDF]
, 1988 An argument that a monetary policy aimed at eliminating long-run inflation would benefit society by removing price distortion, increasing economic growth, adding liquidity to the economy, and reducing uncertainty associated with price-level drift.
William T. Gavin, Alan C. Stockman
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Semiparametric Analysis of Zero‐Inflated Count Data
Biometrics, 2006SummaryMedical and public health research often involve the analysis of count data that exhibit a substantially large proportion of zeros, such as the number of heart attacks and the number of days of missed primary activities in a given period. A zero‐inflated Poisson regression model, which hypothesizes a two‐point heterogeneity in the population ...
Lam, KF, Bun Cheung, Y, Xue, H
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Journal of Biopharmaceutical Statistics, 2020
In longitudinal studies measurements are often collected on different types of responses for each individual. These may contain several longitudinally measured responses (such as the CD4 count) and the time at which an event occurs (e.g., HIV, death, or dropout from the study). These outcomes are often separately analyzed. Compared to separate modeling,
Mojtaba, Zeinali Najafabadi +2 more
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In longitudinal studies measurements are often collected on different types of responses for each individual. These may contain several longitudinally measured responses (such as the CD4 count) and the time at which an event occurs (e.g., HIV, death, or dropout from the study). These outcomes are often separately analyzed. Compared to separate modeling,
Mojtaba, Zeinali Najafabadi +2 more
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Testing inflated zeros in binomial regression models
Biometrical Journal, 2020AbstractBinomial regression models are commonly applied to proportion data such as those relating to the mortality and infection rates of diseases. However, it is often the case that the responses may exhibit excessive zeros; in such cases a zero‐inflated binomial (ZIB) regression model can be applied instead.
Peng Ye +4 more
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