Results 21 to 30 of about 6,113,629 (258)

Regression Neural Networks Advantage over Classical Regression Analysis

RUDN Journal of Engineering Research
In this study, two analyzing methods are used to predict housing prices in California: neural network forecasting methods and methods based on regression analysis.
Olga A. Saltykova, Vyacheslav D. Saushkin   +1 more
doaj   +1 more source

Common pitfalls in statistical analysis: Linear regression analysis

Perspectives in Clinical Research, 2017
In a previous article in this series, we explained correlation analysis which describes the strength of relationship between two continuous variables.
Rakesh Aggarwal, Priya Ranganathan
doaj   +1 more source

Understanding of Macro Factors That Affect Yield of Government Bonds

Risks, 2022
Government bonds are one of the safest and most attractive instruments in the investment portfolio for private investors and investment funds. Although bonds are perceived as an alternative to bank deposits, a number of macroeconomic factors influence ...
Ekaterina Koroleva, Maxim Kopeykin
doaj   +1 more source

Random design analysis of ridge regression

, 2014
This work gives a simultaneous analysis of both the ordinary least squares estimator and the ridge regression estimator in the random design setting under mild assumptions on the covariate/response distributions.
Hsu, Daniel, Kakade, Sham M., Zhang, Tong   +2 more
core   +1 more source

Robust Linear Regression Analysis - A Greedy Approach

, 2015
The task of robust linear estimation in the presence of outliers is of particular importance in signal processing, statistics and machine learning. Although the problem has been stated a few decades ago and solved using classical (considered nowadays ...
Bouboulis, Pantelis, Papageorgiou, George, Themelis, Kostantinos, Theodoridis, Sergios   +3 more
core   +1 more source

Efficacy and Tolerability of Topotecan/Cyclophosphamide/Dinutuximab in Relapsed and Refractory High‐Risk Neuroblastoma: A Multi‐Institutional Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman, Madeleine King, Rajen Mody, Sara‐Jane Onyeama, Araz Marachelian, Thomas Cash, Sara M. Federico, Meaghan Granger, Ami V. Desai, Suzanne Shusterman, Jennifer H. Foster, Elizabeth Sokol, Chelsee Greer, Keri Streby, Holly J. Meany, Kieuhoa T. Vo, Margaret E. Macy, Rochelle Bagatell   +17 more
wiley   +1 more source

Multivariate Regression Analysis Identifying Predictors of Patient Satisfaction with Multifocal IOLs: +4.00/+4.00 vs +3.25/+3.25 vs +3.25/EDOF

Clinical Ophthalmology, 2020
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  

Function Model Based on Nonlinear Transient Rheology of Rocks: An Analysis of Decadal GNSS Time Series After the 2011 Tohoku‐oki Earthquake

Geophysical Research Letters, 2023
The postseismic Global Navigation Satellite System (GNSS) time series after the 2011 Tohoku‐oki earthquake is often empirically explained by one or more logarithmic and exponential decay functions.
Sambuddha Dhar, Jun Muto
doaj   +1 more source

Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy, Elizabeth L. Seashore, W. Susan Cheng, Shondra Clay, Jessica A. Casas, Jennifer H. Foster   +5 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