Results 81 to 90 of about 1,087,600 (300)
Analysis of dental caries using generalized linear and count regression models [PDF]
Generalized linear models (GLM) are generalization of linear regression models, which allow fitting regression models to response data in all the sciences especially medical and dental sciences that follow a general exponential family. These are flexible
Javali M. Phil, Parameshwar V. Pandit
doaj
Finding the Right Distribution for Highly Skewed Zero-inflated Clinical Data
Discrete, highly skewed distributions with excess numbers of zeros often result in biased estimates and misleading inferences if the zeros are not properly addressed.
Resmi Gupta +3 more
doaj +1 more source
Estimation for Wrapped Zero Inflated Poisson and Wrapped Poisson Distributions
There has been a growing interest in discrete circular models such as wrapped zero inflated Poisson and wrapped Poisson distributions and the trigonometric moments (see Brobbey et al., 2016 and Girija et al., 2014). Also, characteristic functions of stable processes have been used to study the estimation of the model parameters using estimating ...
Aerambamoorthy Thavaneswaran +2 more
openaire +1 more source
ABSTRACT Chief executive officers (CEOs) play a pivotal role in shaping public discourse on climate change through social media, yet how their language use affects the effectiveness of climate‐related posts remains unclear. Drawing on schema‐congruity theory and leader role expectations, we conceptualize certainty in language as congruent and anxiety ...
Ellen Weber +4 more
wiley +1 more source
Nowadays, an important and interesting alternative in the control of tick-infestation in cattle is to select resistant animals, and identify the respective quantitative trait loci (QTLs) and DNA markers, for posterior use in breeding programs. The number
Fabyano Fonseca Silva +7 more
doaj
Identifiability of zero-inflated Poisson models
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
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.
Adarabioyo, M I, Ipinyomi, R A
openaire +3 more sources
Modelling zero-inflated count data when exposure varies: with an application to sick leave [PDF]
This paper is concerned with the analysis of zero-inflated count data when time of exposure varies. It proposes a new zero-inflated count data model that is based on two homogeneous Poisson processes and accounts for exposure time in a theory consistent ...
Gregori Baetschmann, Rainer Winkelmann
core
Business Group Affiliation and Environmental Innovation: The Moderating Role of Board Diversity
ABSTRACT This study examines the relationship between business group (BG) affiliation and corporate environmental innovation, with a particular focus on the moderating role of board diversity. Drawing on resource dependence theory (RDT) and agency theory, we argue that although BGs provide affiliated firms with strategic resources, their governance ...
Yamin Xie +3 more
wiley +1 more source
Finding the Right Distribution for Highly Skewed Zero-inflated Clinical Data
Discrete, highly skewed distributions with excess numbers of zeros often result in biased estimates and misleading inferences if the zeros are not properly addressed.
Resmi Gupta +3 more
doaj

