Results 21 to 30 of about 5,681,325 (336)
Functional linear regression analysis for longitudinal data
We propose nonparametric methods for functional linear regression which are designed for sparse longitudinal data, where both the predictor and response are functions of a covariate such as time.
Müller, Hans-Georg+2 more
core +1 more source
M-quantile regression analysis of temporal gene expression data [PDF]
In this paper, we explore the use of M-regression and M-quantile coefficients to detect statistical differences between temporal curves that belong to different experimental conditions.
Vinciotti, V, Yu, K
core +1 more source
Frank A Bucci Jr Bucci Laser Vision, Institute Wilkes-Barre, Wilkes-Barre, PA, USACorrespondence: Frank A Bucci JrBucci Laser Vision Institute, 158 Wilkes-Barre Township Blvd., Wilkes-Barre, PA 18702, USAEmail buccivision@aol.comPurpose: To detect and ...
Bucci FA Jr
doaj
The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source
Network topology drives population temporal variability in experimental habitat networks
Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu+3 more
wiley +1 more source
occumb: An R package for site occupancy modeling of eDNA metabarcoding data
This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley +1 more source
Method for nonlinear exponential regression analysis [PDF]
Two computer programs developed according to two general types of exponential models for conducting nonlinear exponential regression analysis are described.
Junkin, B. G.
core +1 more source
Functional linear regression via canonical analysis
We study regression models for the situation where both dependent and independent variables are square-integrable stochastic processes. Questions concerning the definition and existence of the corresponding functional linear regression models and some ...
He, Guozhong+3 more
core +1 more source
Regression analysis on different mitogenic pathways [PDF]
In this paper different regression analysis methods were discussed on three different mitogenic pathways i.e. ERK, MK2 and JNK. Coefficient of determination, ANOVA, T-value, Durban-Watson statistics were calculated for the corresponding three proteins ...
Shruti Jain
doaj
Regression Analysis With Differential Privacy Preserving
In the field of data mining, protecting sensitive data from being leaked is part of the focuses of current research. As a strict and provable definition of privacy model, differential privacy provides an excellent solution to the problem of privacy ...
Xianjin Fang+3 more
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