Results 21 to 30 of about 3,359,701 (313)
Using nonlinear models to define production, production rate, and precocity of strawberry cultivars [PDF]
Revista Ceres, 2022 The aim of this study was to evaluate, using logistic model, the differences in early production, production rate and total productivity of two strawberry cultivars with transplants from different origins grown in substrate.
Maria Inês Diel +5 more
doaj +1 more source
Grid multi-category response logistic models. [PDF]
, 2015 BackgroundMulti-category response models are very important complements to binary logistic models in medical decision-making. Decomposing model construction by aggregating computation developed at different sites is necessary when data cannot be moved ...
Jiang, Wenchao +5 more
core +1 more source
Logistic Regression in Rare Events Data
Political Analysis, 2001 We study rare events data, binary dependent variables with dozens to thousands of times fewer ones (events, such as wars, vetoes, cases of political activism, or epidemiological infections) than zeros (“nonevents”).
Gary King, Langche Zeng
semanticscholar +1 more source
Route to chaos in generalized logistic map [PDF]
, 2015 Motivated by a possibility to optimize modelling of the population evolution we postulate a generalization of the well-know logistic map. Generalized difference equation reads: \begin{equation} x_{n+1}=rx^p_n(1-x^q_n), \end{equation} $x\in[0,1],\;(p,q)>0,
Rak, Ewa, Rak, Rafał
core +1 more source
Purposeful selection of variables in logistic regression
Source Code for Biology and Medicine, 2008 BackgroundThe main problem in many model-building situations is to choose from a large set of covariates those that should be included in the "best" model.
Z. Bursac +3 more
semanticscholar +1 more source
A weakly informative default prior distribution for logistic and other regression models [PDF]
, 2008 We propose a new prior distribution for classical (nonhierarchical) logistic regression models, constructed by first scaling all nonbinary variables to have mean 0 and standard deviation 0.5, and then placing independent Student-t prior distributions on ...
A. Gelman +3 more
semanticscholar +1 more source
Logistic Regression in Medical Research
Anesthesia and Analgesia, 2021 KEY POINT: Logistic regression is used to estimate the relationship between one or more independent variables and a binary (dichotomous) outcome variable.
P. Schober, T. Vetter
semanticscholar +1 more source
A simulation study of the number of events per variable in logistic regression analysis.
Journal of Clinical Epidemiology, 1996 We performed a Monte Carlo study to evaluate the effect of the number of events per variable (EPV) analyzed in logistic regression analysis. The simulations were based on data from a cardiac trial of 673 patients in which 252 deaths occurred and seven ...
P. Peduzzi +4 more
semanticscholar +1 more source
Protection-Enhanced Watermarking Scheme Combined With Non-Linear Systems
IEEE Access, 2023 Communication of the images over the network calls for an approach to ensure security and ownership protection while exchanging images over the network.
Hira Nazir +6 more
doaj +1 more source
A logistic equation with nonlocal interactions [PDF]
, 2016 We consider here a logistic equation, modeling processes of nonlocal character both in the diffusion and proliferation terms. More precisely, for populations that propagate according to a L\'evy process and can reach resources in a neighborhood of ...
Caffarelli, Luis +2 more
core +4 more sources