Results 21 to 30 of about 93,893 (298)

Delta Boosting Implementation of Negative Binomial Regression in Actuarial Pricing

Risks, 2020
This study proposes an efficacious approach to analyze the over-dispersed insurance frequency data as it is imperative for the insurers to have decisive informative insights for precisely underwriting and pricing insurance products, retaining existing ...
Simon CK Lee
doaj   +1 more source

Negative binomial regression model outputs.

, 2022
Negative binomial regression model outputs.
Larissa H. Unruh (12551529), Kenneth Soyemi (556106), Yinglin Xia (48979), Sadhana Dharmapuri (12551532)   +3 more
core   +1 more source

Comparison of different statistical models for the analysis of fracture events: findings from the Prevention of Falls Injury Trial (PreFIT)

BMC Medical Research Methodology, 2023
Background Fractures are rare events and can occur because of a fall. Fracture counts are distinct from other count data in that these data are positively skewed, inflated by excess zero counts, and events can recur over time.
Anower Hossain, Ranjit Lall, Chen Ji, Julie Bruce, Martin Underwood, Sarah E. Lamb   +5 more
doaj   +1 more source

NEGATIVE BINOMIAL REGRESSION AND GENERALIZED POISSON REGRESSION MODELS ON THE NUMBER OF TRAFFIC ACCIDENTS IN CENTRAL JAVA

Barekeng, 2022
Traffic accidents that always increase along with the increasing population growth and the number of vehicles impact the national economy. The number of traffic accidents is a count data that a Poisson distribution can approximate. The Poisson regression
M Al Haris, Prizka Rismawati Arum
doaj   +1 more source

Results of negative binomial regression.

, 2022
Results of negative binomial regression.
Ashraf Simi (12256535), Mohammad M. Sajadi (9592011), Iman Hafizi-Rastani (12256538), Konstantin Chumakov (799919), Mahboobeh Yadollahie (12256532), Kristen Stafford (6888056), Shyamasundaran Kottilil (424482), Farrokh Habibzadeh (12256529), Robert C. Gallo (12256541)   +8 more
core   +1 more source

Testing for zero-modification in count regression models [PDF]

, 2006
Count data often exhibit overdispersion and/or require an adjustment for zero outcomes with respect to a Poisson model. Zero-modified Poisson (ZMP) and zero-modified generalized Poisson (ZMGP) regression models are useful classes of models for such ...
Min, Aleksey, Czado, Claudia
core   +1 more source

Modelling Negative Binomial as a substitute model to Poisson for raters agreement on ordinal scales with sparse data [PDF]

, 2004
The Poisson distribution has been widely used for modelling rater agreement using loglinear models. Mostly in all life or social science researches, subjects are being classified into categories by rater, interviewers or observers and most of these ...
Toutenburg, Helge, Heumann, Christian, Adejumo, A. O.   +2 more
core   +1 more source

Negative binomial factor regression with application to microbiome data analysis [PDF]

Statistics in Medicine, 2021
Abstract The human microbiome provides essential physiological functions and helps maintain host homeostasis via the formation of intricate ecological host‐microbiome relationships. While it is well established that the lifestyle of the host, dietary preferences, demographic background, and health status can influence microbial ...
Aditya K. Mishra, Christian L. Müller
openaire   +3 more sources

PEMODELAN DATA KEMATIAN BAYI DENGAN GEOGRAPHICALLY WEIGHTED NEGATIVE BINOMIAL REGRESSION

Media Statistika, 2016
Overdispersion phenomenon and the influence of location or spatial aspect on data are handled using Binomial Geographically Weighted Regression (GWNBR).
Riza F. Ramadhan, Robert Kurniawan
doaj   +1 more source

ZERO-INFLATED NEGATIVE BINOMIAL REGRESSION FOR DIFFERENTIAL ABUNDANCE TESTING IN MICROBIOME STUDIES

Journal of Bioinformatics and Genomics, 2016
Motivation: The human microbiome plays an important role in human health and disease. The composition of the human microbiome is influenced by multiple factors and understanding these factors is critical to elucidate the role of the microbiome in health ...
Xinyan Zhang, Himel Mallick, Nengjun Yi
doaj   +1 more source