Robust Regression Analysis and Applications 1st Edition - Ebook A2
$29.99$37.49Save 20%
Description
Robust Regression
Analysis and Applications
Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weight each observation discusses generalized properties of Lp-estimators. Includes an algorithm for identifying outliers using least absolute value criterion in regression modeling reviews redescending M-estimators studies Li linear regression proposes the best linear unbiased estimators for fixed parameters and random errors in the mixed linear model summarizes known properties of Li estimators for time series analysis examines ordinary least squares, latent root regression, and a robust regression weighting scheme and evaluates results from five different robust ridge regression estimators.
Additional ISBNs
9780203740538, 9780367580186, 9781351418287, 9780367851279, 9781351418263Important Notice:
- All products sold are digital e-books delivered in PDF or EPUB format only. No physical book will be shipped.
- By completing your purchase, you acknowledge and agree that you are purchasing a digital product, and no physical item will be delivered.
- Please carefully review this information before placing your order to avoid any misunderstanding. Due to the nature of digital products, orders are generally non-refundable once the file has been delivered or accessed, except in cases of technical error.