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A Linear Regression model for multiple independent variable based predictions using Python (Google Colab)

Linear Regression from Scratch This repository contains a Python implementation of simple linear regression from scratch. Linear regression is a fundamental technique in statistics and machine ...
JSTOR Daily

Characterisation of the Distribution of Random Variables in Linear Structural Relations

This is a preview. Log in through your library . Abstract The paper examines the nature of the latent random variables which occur in linear structural models, under the assumption that they are ...
JSTOR Daily

The Construction of Infinite Collections of Random Variables with Linear Regressions

Vol. 18, Analytic and Geometric Stochastics: Papers in Honour of G. E. H. Reuter (Dec., 1986), pp. 73-85 (13 pages) A construction due to Asmussen and Jacobsen is generalised so as to produce ...
Frontiers

Accuracy of attribute estimation in the crossed random effects linear logistic test model: impact of Q-matrix misspecification

A simulation study is designed to explore the accuracy of attribute parameter estimation in the crossed random effects linear logistic test model (CRELLTM) with the impact of Q-matrix misspecification ...
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Introduction to Linear Complementarity Models for Switched Systems

The use of Linear Complementarity Problems (LCP) is a powerful method for modeling switched systems, particularly in the context of power electronic circuits. Switched circuits are ubiquitous in ...
Frontiers

Non-linear relationship of serum albumin-to-globulin ratio and cognitive function in American older people: a cross-sectional national health and nutrition examination survey ...

Department of the Rehabilitation Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China Background: Inflammation and liver function are associated with ...