Results 51 to 60 of about 44,560 (263)

Supplement 1. Summary of Akaike information criteria (AIC) for the constant and Gompertz mortality models for all Monte Carlo realizations.

, 2016
File List SuppTable1_MC_AIC.csv (MD5: 5337de0f2586ea2edf03a5050d4e736c) Description Summary of Akaike information criteria (AIC) for the constant and Gompertz mortality models for all Monte Carlo realizations.
Tal Ben-Horin (206723), Sadie J. Ryan (24547), Leah R. Johnson (372414)   +2 more
core   +1 more source

Condition‐Associated Pattern Extraction and Recovery From Multi‐Condition Single‐Cell RNA‐seq Data With CAPER

Advanced Science, EarlyView.
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li, Jin Ning, An Wang, Minxi Shi, Yuanze Chen, Guoliang Liu, Shiquan Sun   +6 more
wiley   +1 more source

Correcting Apparent Priming Bias Unveils Fertilizer Nitrogen‐Risk Archetypes of Surplus and Depletion Across Asian Rice Systems

Advanced Science, EarlyView.
Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu, Siyuan Cai, Longlong Xia, Jagdish K. Ladha, Xiaoyuan Yan, Xu Zhao   +5 more
wiley   +1 more source

Models for Ordered Categorical Variables: An Application [PDF]

Journal of Interdisciplinary Sciences
Ordered logit and ordered probit models, commonly used ordered categorical variable models, are used when the dependent variable is categorical and ordered.
Öznur İşçi Güneri, Burcu Durmuş , Aynur İncekırık   +2 more
doaj  

Inferential Statistics from Black Hispanic Breast Cancer Survival Data

The Scientific World Journal, 2014
In this paper we test the statistical probability models for breast cancer survival data for race and ethnicity. Data was collected from breast cancer patients diagnosed in United States during the years 1973–2009.
Hafiz M. R. Khan, Anshul Saxena, Elizabeth Ross, Venkataraghavan Ramamoorthy, Diana Sheehan   +4 more
doaj   +1 more source

Parameters of the constrained Von Bertalanffy growth functions with upper and lower 95% confidence intervals and Akaike Information Criteria (AIC) for each model.

, 2013
Parameters of the constrained Von Bertalanffy growth functions with upper and lower 95% confidence intervals and Akaike Information Criteria (AIC) for each model.
Alexandre Alonso-Fernández (449901), Rafael Bañón (449903), Fran Saborido-Rey (449904), David Villegas-Ríos (449900), Mariña Fabeiro (449902)   +4 more
core   +1 more source

Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao, Simon Meister, Lucie Maruejols, Xiaohua Yu   +3 more
wiley   +1 more source

Results of the generalized linear mixed models with change in air pressure dichotomized at zero presented with Odds Ratios (OR), p-values (p-val), Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC).

, 2016
Results of the generalized linear mixed models with change in air pressure dichotomized at zero presented with Odds Ratios (OR), p-values (p-val), Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC).
Eva Grill (15316), Eike Krause (2620414), Robert Gürkov (2620408), Nina Heinlin (2620417), Christina Koppe (2620420), Bernhard Olzowy (2620411), Ralf Strobl (654695)   +6 more
core   +1 more source

Volatility analysis and forecasting of vegetable prices using an ARMA‐GARCH model: An application of the CF filter and seasonal adjustment method to Korean green onions

Agribusiness, EarlyView.
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley   +1 more source

Combining forecasts using the Akaike weights [PDF]

, 2009
The focus in the paper is on the information criteria approach and especially the Akaike information criterion which is used to obtain the Akaike weights.
Piłatowska, Mariola
core   +1 more source