Results 131 to 140 of about 31,545 (295)
New Liu Estimators for the Poisson Regression Model: Method and Application
A new shrinkage estimator for the Poisson model is introduced in this paper. This method is a generalization of the Liu (1993) estimator originally developed for the linear regression model and will be generalised here to be used instead of the classical
Shukur, Ghazi +3 more
core
Free Trade Zones and Corporate ESG: Evidence From a Quasi‐Natural Experiment in China
ABSTRACT This study examines how China's Pilot Free Trade Zones (FTZs) influence corporate ESG performance. Using a staggered difference‐in‐differences model on Chinese listed firms from 2009 to 2024, we combine coarsened exact matching (CEM) and geography‐based instrumental variables to ensure robust identification.
Wen Li, Yinghan Zhao, Brian Lucey
wiley +1 more source
Introduction: In 2022, gastric and breast cancer had a mortality rate of 6.8 cases, ranking fourth despite intervention efforts. A 2020 study by the International Agency for Research on Cancer found global variations in incidence rates.
Zahra Nasseriakbar +2 more
doaj +1 more source
When Nature Counts: Corporate Biodiversity Attention and Access to Bank Finance
ABSTRACT This paper investigates whether corporate attention to biodiversity influences firms' access to bank loans, an overlooked question in the emerging biodiversity–finance literature. Using a novel, text‐based measure constructed from 446 biodiversity‐related keywords and applied to Chinese A‐share listed firms from 2000 to 2023, we show that ...
Ruxiao Li +3 more
wiley +1 more source
The SARS‐CoV‐2 papain‐like protease (PLpro) is a medicinal chemistry target. Here we report mass spectrometry assays employing oligopeptide substrates based on the sequences of the viral polyproteins 1a/1ab and on an ISG15‐modified human protein, which enabled the identification of substrate‐selective PLpro inhibitors.
Sakshi Sharma +13 more
wiley +1 more source
A goodness‐of‐fit test for regression models with discrete outcomes
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
Since the early 1990s, researchers have routinely used count data models (such as the Poisson and negative binomial) to estimate the demand for recreational activities.
Surry, Yves R., Sarker, Rakhal
core +2 more sources
ZERO INFLATED NEGATIVE BINOMIAL MODELS IN SMALL AREA ESTIMATION
The problem of over-dispersion in Poisson data is usually solved by introducing prior distributions which lead to negative binomial models. Poisson data sometime is also suffered by excess zero problems, a condition when data contains too many zero or ...
Khairil Anwar, Notodiputro +2 more
core
Jackknife bias‐corrected variance estimation for the generalized regression estimator
Abstract Commonly used variance estimators for the generalized regression estimator (GREG) are based on Taylor linearization and jackknife. Traditionally, a jackknife GREG variance estimator is obtained by jackknifing GREG, which consists of computing GREG from each of several subsamples of the parent sample, and estimating the variance of the parent ...
Marius Stefan, J.N.K Rao
wiley +1 more source
The Poisson-Inverse Gaussian regression model is a widely used method for analyzing count data, particularly in over-dispersion. However, the reliability of parameter estimates obtained through maximum likelihood estimation in this model can be ...
Fatimah A. Almulhim +5 more
doaj +1 more source

