Results 41 to 50 of about 29,488,662 (360)
Regression analysis on different mitogenic pathways [PDF]
Network Biology, 2016 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
IEEE Access, 2019 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
doaj +1 more source
Segmented regression analysis of interrupted time series studies in medication use research
Journal of Clinical Pharmacy and Therapeutics, 2002 Interrupted time series design is the strongest, quasi‐experimental approach for evaluating longitudinal effects of interventions. Segmented regression analysis is a powerful statistical method for estimating intervention effects in interrupted time ...
A. Wagner +3 more
semanticscholar +1 more source
Regression of Environmental Noise in LIGO Data [PDF]
, 2015 We address the problem of noise regression in the output of gravitational-wave (GW) interferometers, using data from the physical environmental monitors (PEM).
Drago, Marco +10 more
core +2 more sources
occumb: An R package for site occupancy modeling of eDNA metabarcoding data
Population Ecology, EarlyView.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
Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression
Journal of Applied Mathematics, 2012 We study learning algorithms generated by regularization schemes in reproducing kernel Hilbert spaces associated with an ϵ-insensitive pinball loss. This loss function is motivated by the ϵ-insensitive loss for support vector regression and the pinball ...
Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou
doaj +1 more source
A Simple Introduction to Regression Modeling using R
Computational Journal of Mathematical and Statistical Sciences, 2023 In statistical modeling, regression analysis is a group of statistical processes used in R programming and statistics to determine the relationship between dataset variables.
Amr R Kamel , Mohamed Reda Abonazel
doaj +1 more source
Automated Particle Identification through Regression Analysis of Size, Shape and Colour [PDF]
, 2016 Rapid point of care diagnostic tests and tests to provide therapeutic information are now available for a range of specific conditions from the measurement of blood glucose levels for diabetes to card agglutination tests for parasitic infections.
Cooper, J.M. +2 more
core +1 more source
Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors
Population Ecology, EarlyView.Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley +1 more source
Multicollinearity and Regression Analysis
, 2017 In regression analysis it is obvious to have a correlation between the response and predictor(s), but having correlation among predictors is something undesired.
J. Daoud
semanticscholar +1 more source