How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
Scientific Research Publishing

A Multiple Linear Regression Model for Inflation Rate in the UK ()

School of Computing and Engineering, University of West, London, UK. In recent years, inflation has been a worrying factor for every country, which has become particularly high due to various ...
Frontiers

Optimization of diagnosis-related groups for patients with acute appendicitis using a machine learning model

Background: The diagnosis-related groups prospective payment system (DRG-PPS) is widely implemented worldwide. Its core components include disease classification and pricing mechanisms. Developing a ...
IEEE

Millimeter-Wave Multilayer Common-Mode Filter With Robustness Enhancement Analysis Based on Multiple Linear Regression Equation

Abstract: Based on the proposed millimeter-wave multilayer common-mode filter (CMF) design, this article further presents an innovative parameter analysis method using multiple linear regression ...
Frontiers

Handling missing data of using the XGBoost-based multiple imputation by chained equations regression method

1 Shangwan Coal Mine, Ejin Horo Banner, Ordos, China 2 CCTEG Xi’an Research Institute Co. Ltd., Xi’an, China This study introduces an XGBoost-MICE (Multiple Imputation by Chained Equations) method for ...
Investopedia

What Is Nonlinear Regression? Comparison to Linear Regression

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Scientific Research Publishing

D. C. Montgomery, E. A. Peck and G. G. Vining, “Introduction to Linear Regression Analysis,” 3rd Edition, Wiley, New York, 2001.

ABSTRACT: Predictors of a multiple linear regression equation selected by GCV (Generalized Cross Validation) may contain undesirable predictors with no linear functional relationship with the target ...