Jump to content

User talk:Songpengyx/sandbox

Page contents not supported in other languages.
From Wikipedia, the free encyclopedia

This is an old revision of this page, as edited by Songpengyx (talk | contribs) at 16:27, 10 May 2018. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

First of all, in order to create a regression model, graph is a definitely important tool to assist us to decide what we are supposed to do. In fact, regression diagnostics are used to check if a fitted mean or an assumption is related to the observed data. The basic concept of statistics is to decide the residuals or possible rescaled residuals. However, if the model is unable to provide a set of residuals that seem to be reasonable, some part of the model will call into problem, such as the assumed mean function or assumptions concerning the variance function. Additionally, the estimation of this study and other aspects of the analysis also need to cause an attention. If some data are deleted or missing, the observed statistics will change unexpectedly. This type of cases is called influential which places a very important role in the study of statistics so we need to learn how to use it to detect such cases. Last but not least, we will be required to study and use two relatively diagnostics statistics which are distance measures and leverage values. Although we focus on graphical diagnostics most of time, the numerical quantities are not supposed to be ignored because they are aiding us to interpret the meaning of the graphs.

Cook [ 1977, 1979 ] provided an approach to do this-utilizing a measure for the squared distance from the least-squares estimate in terms of all n points estimate Beta to the estimate acquired by removing the i th point, say the ith estimate Beta This distance measure is Cook’s distance.


Colby Bland Review: Which section are you editing? The main heading or the introduction. I'm proceeding with the assumption of the former. Most Wikipedia articles introduce the title topic early in the first sentence, rather than second. Try reworking the intro with that in mind. There are a few grammar mistakes and the phrasing sounds noncommittal at parts. If something causes an issue with the model, then say so directly. Maybe try to incorporate more of the original article, although brief it did cover the subject.

Thank you Colby ,but you miss some information at class. so, you do not understand. Dr Williams just want to us to comment sandbox. so, you do not need to find which section need editing. but still thank you comment for me.

— Preceding unsigned comment added by Cmbland (talkcontribs) 20:43, 1 May 2018 (UTC)[reply]