Results 31 to 40 of about 24,139,341 (352)

An empirical assessment of the effects of the 1994 In Trust Agreements on IRRI Germplasm Acquisition and Distribution

open access: yesInternational Journal of the Commons, 2009
The objective of this paper is to assess the possible influence of the 1994 In Trust Agreements (ITAs) on acquisition and distribution of germplasm held by the International Research Rice Institute (IRRI) genebank.
Elisabetta Gotor, Francesco Caracciolo
doaj   +1 more source

The Large Arcsine Exponential Dispersion Model—Properties and Applications to Count Data and Insurance Risk

open access: yesMathematics, 2022
The large arcsine exponential dispersion model (LAEDM) is a class of three-parameter distributions on the non-negative integers. These distributions show the specific characteristics of being leptokurtic, zero-inflated, overdispersed, and skewed to the ...
Shaul K. Bar-Lev, Ad Ridder
doaj   +1 more source

Make Data Count

open access: yes, 2023
Conference: Workshop/Exploring National Infrastructure for Public Access Usage and Impact Reporting Award Number:2315721; Principal Investigator:Charles Watkinson; Co-Principal Investigator:; Organization:Regents of the University of Michigan - Ann Arbor;NSF Organization:OAC Start Date:02/15/2023 https://www.nsf.gov/awardsearch/showAward?AWD_ID ...
openaire   +2 more sources

Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences

open access: yesbioRxiv, 2018
In RNA-seq differential expression analysis, investigators aim to detect genes with changes in expression across conditions, despite technical and biological variability. A common task is to accurately estimate the effect size. When the counts are low or
Anqi Zhu, J. Ibrahim, M. Love
semanticscholar   +1 more source

Negative binomial mixed models for analyzing longitudinal CD4 count data

open access: yesScientific Reports, 2020
It is of great interest for a biomedical analyst or an investigator to correctly model the CD4 cell count or disease biomarkers of a patient in the presence of covariates or factors determining the disease progression over time. The Poisson mixed-effects
Ashenafi A. Yirga   +3 more
semanticscholar   +1 more source

The discrete weighted exponential distribution and its applications [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2018
We propose a new discrete distribution namely the discrete weighted exponential (dWE) distribution. It is discretization of weighted exponential distribution.
Panpharisa Khongthip   +2 more
doaj   +1 more source

Models for Overdispersion Count Data with Generalized Distribution: An Application to Parasites Intensity

open access: yesJournal of New Theory, 2021
The Poisson regression model is widely used for count data. This model assumes equidispersion. In practice, equidispersion is seldom reflected in data. However, in real-life data, the variance usually exceeds the mean.
Burcu Durmuş, Öznur İşçi Güneri
doaj   +1 more source

The use of statistics in social sciences [PDF]

open access: yesJournal of Humanities and Applied Social Sciences, 2019
Purpose – The purpose this paper is to review some of the statistical methods used in the field of social sciences. Design/methodology/approach – A review of some of the statistical methodologies used in areas like survey methodology, official statistics,
Petros Maravelakis
doaj   +1 more source

A comparison of residual diagnosis tools for diagnosing regression models for count data

open access: yesBMC Medical Research Methodology, 2020
Background Examining residuals is a crucial step in statistical analysis to identify the discrepancies between models and data, and assess the overall model goodness-of-fit.
C. Feng, Longhai Li, A. Sadeghpour
semanticscholar   +1 more source

A Review of Spatiotemporal Models for Count Data in R Packages. A Case Study of COVID-19 Data

open access: yesMathematics, 2021
Spatiotemporal models for count data are required in a wide range of scientific fields, and they have become particularly crucial today because of their ability to analyze COVID-19-related data.
Maria Victoria Ibañez   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy