Logo

Residuals and Influence in Regression

Small book cover: Residuals and Influence in Regression

Residuals and Influence in Regression
by

Publisher: Chapman & Hall
ISBN/ASIN: 041224280X
Number of pages: 240

Description:
Residuals are used in many procedures designed to detect various types of disagreement between data and an assumed model. In this monograph, we present a detailed account of the residual based methods that we have found to be most useful, and brief summaries of other selected methods. Our emphasis is on graphical methods rather than on formal testing.

Home page url

Download or read it online for free here:
Download link
(17MB, PDF)

Similar books

Book cover: Introduction to the Theory of StatisticsIntroduction to the Theory of Statistics
by - McGraw-Hill
A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year's course in calculus with no prior knowledge of statistics or probability. Third revised edition.
(36143 views)
Book cover: Computer Age Statistical Inference: Algorithms, Evidence, and Data ScienceComputer Age Statistical Inference: Algorithms, Evidence, and Data Science
by - Stanford University
Beginning with classical inferential theories, the book takes up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, etc.
(4722 views)
Book cover: Statistics for Health, Life and Social SciencesStatistics for Health, Life and Social Sciences
by - BookBoon
This is a practical book. It is aimed at people who need to understand statistics, but not develop it as a subject. The typical reader might be a postgraduate student in health, life, or social science who has no knowledge of statistics.
(12459 views)
Book cover: A First Course on Time Series Analysis with SASA First Course on Time Series Analysis with SAS
by - University of Wuerzburg
This book links up elements from time series analysis with a selection of statistical procedures used in general practice including the statistical software package SAS. The book addresses students of statistics, economics, demography, engineering.
(14982 views)