JSTOR Daily

ON CONSTRAINED M-ESTIMATION AND ITS RECURSIVE ANALOG IN MULTIVARIATE LINEAR REGRESSION MODELS

In this paper, the constrained M-estimation of the regression coefficients and scatter parameters in a multivariate linear regression model is considered. Robustness and asymptotic behavior are ...
JSTOR Daily

Bivariate Location-Scale Models for Regression Analysis, with Applications to Lifetime Data

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 67, No. 1 (2005), pp. 63-78 (16 pages) The literature on multivariate linear regression includes multivariate normal ...
Nature

Meta-analysis of quantitative pleiotropic traits for next-generation sequencing with multivariate functional linear models

To analyze next-generation sequencing data, multivariate functional linear models are developed for a meta-analysis of multiple studies to connect genetic variant data to multiple quantitative traits ...
Investopedia

Multivariate Model: What it is, How it Works, Pros and Cons

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 ...
ascopubs.org

Development of an Oncology Acute Care Risk Prediction Model

Acute care utilization (ACU), including emergency department (ED) visits or hospital admissions, is common in patients with cancer and may be preventable. The Center for Medicare & Medicaid Services ...
technologynetworks

Linear Regression

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...