Results 101 to 110 of about 4,654,667 (290)

Home country institutional ties and Chinese SMEs' OFDI: Institutional polycentrism and resource dependence perspectives

Global Strategy Journal, EarlyView.
Abstract Research Summary Combining institutional polycentrism and resource dependence perspectives, we theorize that small‐and‐medium‐sized enterprises' (SMEs) outward foreign direct investment (OFDI) depends on the types and levels of home institutional ties, and this relationship is moderated by technological resources.
Zibang Chen, Axèle Giroud, Asmund Rygh, Yanze Liang   +3 more
wiley   +1 more source

Impact of Single‐Cell RNA Reference Selection for the Deconvolution of Breast Cancer Spatial Transcriptomics Datasets

International Journal of Cancer, EarlyView.
ABSTRACT Spot‐based spatial transcriptomics (ST) allows for unbiased gene expression analysis within tissue architecture, overcoming the limitations of single‐cell RNA sequencing (scRNA‐seq) by preserving spatial context. However, the high spatial resolution in ST leads to cellular heterogeneity within spots, requiring computational deconvolution to ...
Stefan Altendorfer, Scott J. Walker, Carsten O. Daub   +2 more
wiley   +1 more source

Using Distribution Regression Difference‐in‐Differences to Evaluate the Effects of a Minimum Wage Introduction on the Distributions of Wages, Earnings, and Working Hours

Journal of Applied Econometrics, EarlyView.
ABSTRACT We estimate the causal effects of the introduction of the minimum wage in Germany on the distributions of hourly wages, monthly earnings, and hours worked, combining rich large‐scale data sources. We compare linear and non‐linear versions of distribution regression difference‐in‐differences (DR‐DiD) and also estimate bivariate DR‐DiD.
Martin Biewen, Bernd Fitzenberger, Marian Rümmele   +2 more
wiley   +1 more source

Landscape drivers of scaled quail occurrence across a broad spatiotemporal scale: implications for habitat management

The Journal of Wildlife Management, EarlyView.
Combining large‐scale avian surveys with remote sensing products revealed landscape variables that likely limit scaled quail occurrence at the ecoregion scale in Texas. Promoting management practices that address ecoregion‐specific limiting factors may be key to averting further declines.
Benjamin W. Hoose, Mike Frisbie, Toryn L. J. Schafer, X. Ben Wu, Roel R. Lopez, Brian L. Pierce   +5 more
wiley   +1 more source

Zero-Inflated Data Analysis Using Graph Neural Networks with Convolution

Computers
Zero-inflated count data are characterized by an excessive frequency of zeros that cannot be adequately analyzed by a single distribution, such as Poisson or negative binomial.
Sunghae Jun
doaj   +1 more source

A four-level zero-inflated negative binomial regression model for inpatient service use^a.

A four-level zero-inflated negative binomial regression model for inpatient service usea.
Xi Li (19208), Peipei Chai (17023472), Theo Niyonsenga (8269236), Itismita Mohanty (2735569)   +3 more
core   +1 more source

Application of zero-inflated negative binomial mixed model to human microbiota sequence data

, 2014
Identification of the majority of organisms present in human-associated microbial communities is feasible with the advent of high throughput sequencing technology.
Brandie Wagner, J. Kirk Harris, Sophie A Fillon, Rui Fang   +3 more
core   +1 more source

Modeling effects of environmental conditions and hunter activity on Montezuma quail harvest in Arizona

The Journal of Wildlife Management, EarlyView.
Models of spatiotemporal variation in hunter harvest show that monsoon precipitation and changes in hunter behavior and composition are the primary drivers underlying variation in annual harvest of Montezuma quail. The demographic structure of the previous year's harvest was also strongly associated with the magnitude and rate of annual harvest ...
Alexandra D. Burnett, Kirby Bristow, Larisa E. Harding, Javan M. Bauder   +3 more
wiley   +1 more source

The Ridge-Hurdle Negative Binomial Regression Model: A Novel Solution for Zero-Inflated Counts in the Presence of Multicollinearity

Stats
Datasets with many zero outcomes are common in real-world studies and often exhibit overdispersion and strong correlations among predictors, creating challenges for standard count models.
HM Nayem, B. M. Golam Kibria
doaj   +1 more source

ZERO INFLATED NEGATIVE BINOMIAL MODELS IN SMALL AREA ESTIMATION [PDF]

, 2008
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, Irene Muflikh, Nadhiroh, Indahwati, Indahwati   +2 more
core