Crucial problems in regression modelling and their solutions
M Meloun, J Militký, M Hill, RG Brereton - Analyst, 2002 - pubs.rsc.org
1.2. 1 Procedure for regression model building 1.2. 1.1 Step 1. Proposal of a model for
original data 1.2. 1.2 Step 2. Significance test of parameter estimates 1.2. 1.3 Step 3 …
original data 1.2. 1.2 Step 2. Significance test of parameter estimates 1.2. 1.3 Step 3 …
Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations
Variance-based structural equation modeling is extensively used in information systems
research, and many related findings may have been distorted by hidden collinearity. This is …
research, and many related findings may have been distorted by hidden collinearity. This is …
Revision: Variance inflation in regression
DR Jensen, DE Ramirez - 2013 - vtechworks.lib.vt.edu
Abstract Variance Inflation Factors (VIFs) are reexamined as conditioning diagnostics for
models with intercept, with and without centering regressors to their means as oft debated …
models with intercept, with and without centering regressors to their means as oft debated …
Collinearity
RC Hill, LC Adkins - A companion to theoretical econometrics, 2001 - Wiley Online Library
Collinearity, a devilish problem to be sure, receives the blame for a substantial amount of
inconclusive, weak, or unbelievable empirical work. Social scientists are, for the most part …
inconclusive, weak, or unbelievable empirical work. Social scientists are, for the most part …
Principal perceptions and student achievement in reading in Korea, Mexico, and the United States: Educational leadership, school autonomy, and use of test results
SH Shin, CL Slater, E Backhoff - Educational Administration …, 2013 - journals.sagepub.com
This study compared PISA 2009 student reading literacy scores with principal perceptions
across three countries with varying levels of student performance: Korea, Mexico, and the …
across three countries with varying levels of student performance: Korea, Mexico, and the …
A novel collinearity-influential observation diagnostic measure based on a group deletion approach
High leverage points can induce or disrupt multicollinearity patterns in data. Observations
responsible for this problem are generally known as collinearity-influential observations. A …
responsible for this problem are generally known as collinearity-influential observations. A …
Linking knowledge to productivity: a Germany-Italy comparison using the CIS database
F Lotti, E Santarelli - Empirica, 2001 - Springer
This paper employs micro-aggregated data from the FirstCommunity Innovation Survey for
assessing the contribution of the level and type of R & D spending, the purchase of new …
assessing the contribution of the level and type of R & D spending, the purchase of new …
Diagnostic plot for the identification of high leverage collinearity-influential observations
A Bagheri, H Midi - SORT-Statistics and Operations Research …, 2015 - raco.cat
High leverage collinearity influential observations are those high leverage points that
change the multicollinearity pattern of a data. It is imperative to identify these points as they …
change the multicollinearity pattern of a data. It is imperative to identify these points as they …
Applied regression analysis bibliography update 1994-97
NR Draper - Communications in Statistics-Theory and Methods, 1998 - Taylor & Francis
The 25-page Bibliography in Applied Regression Analysis, 2nd edition, by NR Draper and
H. Smith, published by Wiley in 1981, was previously extended by a list of selected …
H. Smith, published by Wiley in 1981, was previously extended by a list of selected …
[PDF][PDF] Robust multicollinearity diagnostic measure for fixed effect panel data model
It is now evident that high leverage points (HLPs) can induce the multicollinearity pattern of a
data in fixed effect panel data model. Those observations that are responsible for this …
data in fixed effect panel data model. Those observations that are responsible for this …