Results 61 to 70 of about 22,911 (304)
Agriculture, 2022 Reducing postharvest losses (PHLs) in the South African citrus industry is fundamental in ensuring food, income, and nutrition security. However, there is limited knowledge on the extent of postharvest losses, their diversity, and the associated ...
Siphiw’okuhle Nohamba +3 more
doaj +1 more source
Orchard netting impacts on biodiversity leading to cascading effects at the ecosystem level
Biological Reviews, EarlyView.ABSTRACT Agriculture must ensure food production without further compromising the ecosystem functions upon which it depends. Agricultural practices should therefore avoid harming farmland biodiversity, especially of taxa that supply the key ecosystem services (e.g.
Corrado Alessandrini +13 more
wiley +1 more source
Overdispersion Tests in Count-Data Analysis
, 2008 Count data are commonly assumed to have a Poisson distribution, especially when there is no diagnostic procedure for checking this assumption. However, count data rarely fit the restrictive assumptions of the Poisson distribution.
Jaume Vives +3 more
core +1 more source
A New First-Order Integer-Valued Autoregressive Model with Bell Innovations
Entropy, 2021 A Poisson distribution is commonly used as the innovation distribution for integer-valued autoregressive models, but its mean is equal to its variance, which limits flexibility, so a flexible, one-parameter, infinitely divisible Bell distribution may be ...
Jie Huang, Fukang Zhu
doaj +1 more source
Digital Transformation for Eco‐Innovation: Evidence From Agriculture 4.0 Adoption in Wine Firms
Business Strategy and the Environment, EarlyView.ABSTRACT Firms face a fundamental strategic dilemma: how to align digital transformation with environmental sustainability while maintaining competitive advantage. Drawing on the eco‐innovation and green business strategy literature, this paper investigates how Agriculture 4.0 technologies act as enablers of sustainability strategies.
Alessandro Muscio +2 more
wiley +1 more source
Bayesian mortality forecasting with overdispersion [PDF]
, 2018 The ability to produce accurate mortality forecasts, accompanied by a set of representative uncertainty bands, is crucial in the planning of public retirement funds and various life-related businesses.
Smith, Peter W.F. +8 more
core +1 more source
Estimation Parameters And Modelling Zero Inflated Negative Binomial
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2016 Regression analysis is used to determine relationship between one or several response variable (Y) with one or several predictor variables (X). Regression model between predictor variables and the Poisson distributed response variable is called Poisson ...
Cindy Cahyaning Astuti +1 more
doaj +1 more source
Ecology and Evolution, 2020 Periodic climatic oscillations and species dispersal during the postglacial period are two important causes of plant assemblage and distribution on the Qinghai‐Tibet Plateau (QTP).
Yuanming Xiao +6 more
doaj +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 +2 more
wiley +1 more source
BarekengProperty crime in Indonesia remains one of the most prevalent categories of crime across various regions of the country. This category encompasses a range of criminal acts, including theft, illegal appropriation of goods, robbery, motor vehicle theft ...
Prizka Rismawati Arum +2 more
doaj +1 more source