Results 21 to 30 of about 41,785 (303)
Exponential dispersion models for overdispersed zero-inflated count data [PDF]
Communications in Statistics - Simulation and Computation, 2021 We consider three new classes of exponential dispersion models of discrete probability distributions which are defined by specifying their variance functions in their mean value parameterization. In a previous paper (Bar-Lev and Ridder, 2020a), we have developed the framework of these classes and proved that they have some desirable properties. Each of
Shaul K. Bar-Lev, Ad Ridder
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Small area prediction of quantiles for zero-inflated data and an informative sample design [PDF]
, 2019 The Conservation Effects Assessment Project (CEAP) is a survey intended to quantify soil and nutrient loss on cropland. Estimates of the quantiles of CEAP response variables are published.
Emily Berg, Danhyang Lee
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Zero-Inflated Patent Data Analysis Using Generating Synthetic Samples
Future Internet, 2022 Due to the expansion of the internet, we encounter various types of big data such as web documents or sensing data. Compared to traditional small data such as experimental samples, big data provide more chances to find hidden and novel patterns with big ...
Daiho Uhm, Sunghae Jun
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Poisson and negative binomial regression models for zero-inflated data: an experimental study [PDF]
, 2022 WOS:000822397600012Count data regression has been widely used in various disciplines, particularly health area. Classical models like Poisson and negative binomial regression may not provide reasonable performance in the presence of excessive zeros and ...
Yıldırım, Hasan +2 more
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Two-part and three-part models for passive acoustic telemetry data [PDF]
, 2020 Toolbox used to process zero-inflated data from passive acoustic telemetry networks. Example data and R code are provided. Functions include: The construction and comparison of one-part models, two-part models, three-part models and random forest model ...
Bruneel, S (via Mendeley Data)
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BMC Bioinformatics, 2021 Background For differential abundance analysis, zero-inflated generalized linear models, typically zero-inflated NB models, have been increasingly used to model microbiome and other sequencing count data.
Wei Bai +4 more
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Mathematics, 2022 This article presents the results of the implementation of a forecasting model, to predict the relief materials needed for assisting in decisions prior to natural disasters, thus filling a gap in the exploration of Generalized Linear Mixed Models (GLMM ...
Camila Pareja Yale +2 more
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Zero-Inflated Patent Data Analysis Using Compound Poisson Models
Applied Sciences, 2023 A large part of big data consists of text documents such as papers, patents or articles. To analyze text data, we have to preprocess the text documents and build a structured data based on a document-word matrix using various text mining techniques. This
Sangsung Park, Sunghae Jun
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Asian Journal of Probability and Statistics, 2019 Count data often violate the assumptions of a normal distribution due to the fact that they are bounded by their lowest value which is zero. The Poison distribution is sometimes suggested but when the assumption of equal mean and variance is violated due to over-dispersion and presence of zeros we tend to look in the direction of other models.
R. A. Ipinyomi, M. I. Adarabioyo
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Mediation analysis for count and zero-inflated count data [PDF]
Statistical Methods in Medical Research, 2017 Different conventional and causal approaches have been proposed for mediation analysis to better understand the mechanism of a treatment. Count and zero-inflated count data occur in biomedicine, economics, and social sciences. This paper considers mediation analysis for count and zero-inflated count data under the potential outcome framework with ...
Cheng, Jing +5 more
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