Results 161 to 170 of about 594,285 (313)

Comparing Some Negative Binomial Regression with Simulation

Salud, Ciencia y Tecnología - Serie de Conferencias
This paper presented a comprehensive comparative study of various negative binomial regression models using simulation techniques. Negative binomial regression models are widely employed in statistical analyses, particularly in situations involving count data with over dispersion.
Zahraa AbdulAmeer Ali AL-Mosawy, Nadia Abed Habeeb   +1 more
openaire   +1 more source

Eco‐Innovation, Economic Complexity, and Sustainability: A Bibliometric and Systematic Literature Review

Business Strategy and the Environment, EarlyView.
ABSTRACT This study systematizes the literature on eco‐innovation and economic complexity, aiming to understand how the sophistication of productive structures shapes countries' capacity to develop environmentally responsible innovations, and how eco‐innovation may, in turn, influence productive sophistication.
Gregory Matheus Pereira de Moraes, Diogo Ferraz   +1 more
wiley   +1 more source

HANDLING OF OVERDISPERSION CASES IN MORBIDITY DATA IN SELUMA REGENCY

Media Statistika
The problem of overdispersion as a violation of the assumption of equidispersion in Poisson regression is generally caused by  sources of unobserved heterogeneity, missing observations on predictor variables, outliers in the data, errors in the ...
Mey Yanti Sarumpaet, Sigit Nugroho, Ramya Rachmawati   +2 more
doaj   +1 more source

Bayesian negative binomial regression model with unobserved covariates for predicting the frequency of north atlantic tropical storms. [PDF]

J Appl Stat, 2023
Li X, Ghosh J, Villarini G.
europepmc   +1 more source

From Eco‐Policy to Green Practice: Government Eco‐Initiatives, Managerial Attention and Frugal Green Innovation in Saudi Arabia

Business Strategy and the Environment, EarlyView.
ABSTRACT Considering the need for environmental sustainability and fulfillment of the needs of customers at the bottom of the pyramid, this study integrates the attention‐based view of organizations and situational leadership theory to examine the impact of government eco‐initiatives on frugal green innovation through managerial attention toward the ...
Qaisar Iqbal, Katarzyna Piwowar‐Sulej, Jim Andersén   +2 more
wiley   +1 more source

Clarify: Software for Interpreting and Presenting Statistical Results [PDF]

Clarify is a program that uses Monte Carlo simulation to convert the raw output of statistical procedures into results that are of direct interest to researchers, without changing statistical assumptions or requiring new statistical models.
Gary King, Jason Wittenberg, Micahael Tomz   +2 more
core   +1 more source

Decoding Emotional Signatures of Ethical Ads: An Analysis of Actor‐Viewer Synchrony

Journal of Consumer Behaviour, EarlyView.
ABSTRACT We examine whether ethical advertisements differ from conventional ads in their on‐screen emotional signatures and whether those signatures transfer to actor‐viewer synchrony. Study 1 analyses 138 professionally produced YouTube ads using Automated Facial Expression Recognition (AFER) and Convolutional Neural Networks (CNN) to quantify actor ...
Vik Naidoo, Nicolas Hamelin
wiley   +1 more source

Crafted Responsibility: How Handmade Language Shapes Social Media Engagement for Socially (Ir)Responsible Luxury Fashion Brands

Journal of Consumer Behaviour, EarlyView.
ABSTRACT This research examines how the disclosure of production cues interacts with corporate social responsibility cues to influence social media engagement in luxury fashion. Two complementary field studies analyse marketer‐generated Facebook posts from luxury fashion brands, providing large‐scale empirical evidence of a real‐world impact on ...
Tuba Degirmenci, Frank Mathmann, Gary Mortimer   +2 more
wiley   +1 more source

Normalizing Metagenomic Hi-C Data and Detecting Spurious Contacts Using Zero-Inflated Negative Binomial Regression. [PDF]

J Comput Biol, 2022
Du Y, Laperriere SM, Fuhrman J, Sun F.
europepmc   +1 more source

A goodness‐of‐fit test for regression models with discrete outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang, Christian Genest, Johanna G. Nešlehová   +2 more
wiley   +1 more source