maximum-likelihood method using iterative re-weighted least squares (Thermo Fisher)
Thermo Fisher is a verified supplier 
Thermo Fisher manufactures this product 
90
Structured Review
Thermo Fisher
maximum-likelihood method using iterative re-weighted least squares
Maximum Likelihood Method Using Iterative Re Weighted Least Squares, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/maximum-likelihood+method+using+iterative+re-weighted+least+squares/10__1080_slash_03610926__2018__1515361-42-11-29
Average 90 stars, based on 1 article reviews
Maximum Likelihood Method Using Iterative Re Weighted Least Squares, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/maximum-likelihood+method+using+iterative+re-weighted+least+squares/10__1080_slash_03610926__2018__1515361-42-11-29
Average 90 stars, based on 1 article reviews
maximum-likelihood method using iterative re-weighted least squares - by Bioz Stars,
2026-09
90/100 stars
Images
Related Articles
other:Article Title: Impact of additive covariate error on linear model Article Snippet: We consider effect of additive covariate error on linear model in observational (radiation epidemiology) study for exposure risk.. Additive dose error affects dose-response shape under general linear regression settings covering identity-link GLM type models and linear excess-relative-risk grouped-Poisson models.. Under independent error, dose distribution that log of dose density is up to quadratic polynomial on an interval (the log-quadratic density condition), normal, exponential, and uniform distributions, is the condition for linear regression calibration. |