Results 21 to 30 of about 25,433,903 (315)

count-data-tongue-annotated.rds

, 2021
tissue-specific single-cell read count data showing the changes with ...
Robert Palovics (9552968)
core   +1 more source

Too many zeros and/or highly skewed? A tutorial on modelling health behaviour as count data with Poisson and negative binomial regression

Health Psychology and Behavioral Medicine, 2021
Background Dependent variables in health psychology are often counts, for example, of a behaviour or number of engagements with an intervention. These counts can be very strongly skewed, and/or contain large numbers of zeros as well as extreme outliers ...
James A. Green
doaj   +1 more source

Modeling and Simulation of Count Data [PDF]

CPT: Pharmacometrics & Systems Pharmacology, 2014
Count data, or number of events per time interval, are discrete data arising from repeated time to event observations. Their mean count, or piecewise constant event rate, can be evaluated by discrete probability distributions from the Poisson model family. Clinical trial data characterization often involves population count analysis.
openaire   +3 more sources

count-data-brain-annotated.rds

, 2021
tissue-specific single-cell read count data showing the changes with ...
Robert Palovics (9552968)
core   +1 more source

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

International 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

count-data-skin-annotated.rds

, 2021
tissue-specific single-cell read count data showing the changes with ...
Robert Palovics (9552968)
core   +1 more source

The zero-truncated discrete transmuted generalized inverse Weibull distribution and its applications [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2021
In this article, a new distribution for count data analysis is introduced. Firstly, the Discrete Transmuted Generalized Inverse Weibull distribution (DTGIW) is constructed. Consequently, some useful sub-models are discussed.
Atchanut Rattanalertnusorn, Sirinapa Aryuyuen   +1 more
doaj   +1 more source

count-data-pancreas-annotated.rds

, 2021
tissue-specific single-cell read count data showing the changes with ...
Robert Palovics (9552968)
core   +1 more source

Granular counting of uncertain data

Fuzzy Sets and Systems, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Corrado Mencar, Witold Pedrycz
openaire   +3 more sources

count-data-trachea-annotated.h5ad

, 2021
tissue-specific single-cell read count data showing the changes with ...
Robert Palovics (9552968)
core   +1 more source