Results 31 to 40 of about 6,181,414 (278)
Method for nonlinear exponential regression analysis [PDF]
, 1972 Two computer programs developed according to two general types of exponential models for conducting nonlinear exponential regression analysis are described.
Junkin, B. G.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash +4 more
wiley +1 more source
Fuzzy Regression Analysis with an Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2006 This work investigates the analysis of fuzzy regression in case of the data being fuzzy or non-fuzzy. The analysis is performed by several methods , such as fuzzy linear regression (FLR) and modified one, and fuzzy linear regression with least squares (
doaj +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
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Littera Scripta, 2016 There are many discussions and arguments about accuracy of the results of statistic regression analysis and neural network regression analysis among experts. Of course all of them look for the best method usable in practice.
Marek Vochozka
doaj
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
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
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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
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Bayesian Method of Moments (BMOM) Analysis of Mean and Regression Models [PDF]
, 1995 A Bayesian method of moments/instrumental variable (BMOM/IV) approach is developed and applied in the analysis of the important mean and multiple regression models.
Zellner, Arnold
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