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Tolerance Factors in Multiple and Multivariate Linear Regressions
2008
Communications in statistics. Simulation and computation
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Acknowledgments The authors are grateful to the reviewer of their earlier article (Krishnamoorthy and Mondal, 2006) who brought their attention to the present multivariate regression problem. ...
They are also thankful to a reviewer for providing useful comments and suggestions. ...
Then A = Y − 0 − BX Y − 0 − BX = Y I n − PX XPX −1 XP Y (2.3)
Tolerance Factors in Multiple and Multivariate Linear Regressions 549 where P is as defined in (2.1). ...
doi:10.1080/03610910701812444
fatcat:6x2nhbyy7bgd3plnp7g6pu6xmu
The Measurement of School Sports Atmosphere and the Relation Between Middle School Students Scientific Creativity
2020
Journal of Higher Education Research
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Conclusion — The school sports atmosphere covers 13 items in three dimensions: self-identification, teacher-student trust, and school environment. The overall Cronbachα value of the scale is 0.865. ...
The two dimensions of self-identification and teacher-student trust can significantly positively predict the product improvement ability, experimental design ability and technical product design ability ...
Multiple linear regression analysis of school sports atmosphere and creative experimental design ability After multiple linear regression, the explanatory power of creative experiment design ability in ...
doi:10.32629/jher.v1i3.195
fatcat:v46nybkg7jaz5ljlzvzkkown44
Page 486 of Mathematical Reviews Vol. 58, Issue 1
[page]
1979
Mathematical Reviews
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“Perfect” and “best approximate” aggregation are studied for the multivariate regression model, and their implications for the Leontief model are discussed in detail. ...
Variables can enter a regression with each having only moderate multiple correlation with the previously entered variables, so the tolerance tests are passed, while the multiple correlation of the first ...
Use of Factor Scores for Predicting Body Weight from Some Morphometric Measurements of Two Fish Species in Nigeria
2012
Journal of Agricultural Science
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Their respective factor scores fitted separately in a multiple linear regression model as explanatory variables accounted for 76.6% and 84.5% of the variation in the body weight of the two fish species ...
The statistical approach adopted was the multivariate principal component factor analysis technique. ...
Factor score values of the respective two and three factors of Oreochromis niloticus and Lates niloticus were used separately as explanatory variables in multiple linear regression model to predict body ...
doi:10.5539/jas.v4n8p60
fatcat:ny3nio5wgzfqpnm4pjxxxywlvq
Author Response: Model-Fitting Adequacy and Clinical Rationality in Multivariate Linear Regression Analysis
2010
Investigative Ophthalmology and Visual Science
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The variance inflation factor can be used to evaluate the extent of collinearity, but selection of independent variables should not depend only on that factor. ...
The criterion of P Ͻ 0.05 may be too strict for backward selection in this study, since the adjusted R 2 statistics were all less than 0.2. ...
Author Response: Model-Fitting Adequacy and Clinical Rationality in Multivariate Linear Regression Analysis We are grateful for the interest shown by Hsieh in our paper on the distribution and determinants ...
doi:10.1167/iovs.10-5894
fatcat:4kbewsegnreulm4w52esybuow4
Page 691 of Human Biology Vol. 75, Issue 5
[page]
2003
Human Biology
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Additionally, the interaction of genotype and gender, of genotype and glucose tolerance status, and of genotype in two different loci was tested in a multivariate model adjusted for the above-mentioned ...
Linearity between phenotypic variables and alleles IBD in the dizygotic twins were assessed using the procedure GLM (General Linear Model). ...
Multivariate relationships between international normalized ratio and vitamin K-dependent coagulation-derived parameters in normal healthy donors and oral anticoagulant therapy patients
2003
Thrombosis Journal
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Due to collinearity and low tolerance of independent variables included in the multiple regression models, we routinely employed a ridge multiple regression model which compromises the minimal number of ...
In statistical evaluation, the uni- and multivariate analyses were employed and the regression equations describing the obtained associations were estimated. ...
In the multivariate analysis of all data we used finally the ridge regression model of multiple regression (standard and stepwise approaches of multiple regression analysis). ...
doi:10.1186/1477-9560-1-7
pmid:14969588
pmcid:PMC317378
fatcat:m2bev7lmebbvtmj7lk6ul3unyy
A Note on Triangular Decomposition and Measures of Ill-Conditioned Matrices
1983
Educational and Psychological Measurement
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Multiple regression analysis. In A. Ralston and H. Wilf (Eds.), Mathematical methods for digital computers. New York: Wiley, 1960.
Fox, L. Introduction to numerical linear algebra. ...
A note on checking tolerance in matrix inversion and regression. Technometrics, 1977, 19, 513-514.
h 5-
a &
DONG AND THOMASSON 337
Harman, H. H. Modern factor analysis (3rd ed.). ...
doi:10.1177/001316448304300202
fatcat:noky3wn7gbamzlngf5hnd64qva
Resource Factors Affecting Labour Demandfor Textile and Garment Industry in Thailand
2017
Journal of Industrial Engineering and Management Science
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The result of analysis by multiple linear regression are used to explain how particular resource factors affect labour demand for textile and garment industry in Thailand by comparing between textile and ...
companies (ISIC CODE 13111) and in garment industry represented by the manufacturer of work wear (ISIC CODE 14111) in Thailand by multiple regression with and without variable transformation. ...
Therefore, we assume that there is no first order linear auto-correlation in the multiple linear regression data. ...
doi:10.13052/jiems2446-1822.2017.013
fatcat:ay5wrxqbsnanvmmfxyq6huapci
Designing intelligent disaster prediction models and systems for debris-flow disasters in Taiwan
2012
Expert systems with applications
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The proposed prediction models are based on linear regression, multivariate analysis, and back-propagation networks. ...
The chosen disaster factors in this study are classified as non-real-time factors and real-time factors. ...
NSC 100-2218-E-020-001 and NSC 100-2218-E-020-002. ...
doi:10.1016/j.eswa.2011.11.083
fatcat:bajcsdzrxvahpaizsgix4mdq2a
Soluble CD163: a biomarker linking macrophages and insulin resistance
2012
Diabetologia
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Methods This cross-sectional study includes 234 participants: 96 with type 2 diabetes, 34 with impaired glucose tolerance (IGT) and 104 with normal glucose tolerance (NGT), matched for sex and BMI. ...
Glucose-lowering medication was paused for 1 week before plasma samples were obtained for determination of sCD163 and other inflammatory and metabolic variables. ...
Contribution statement CPF, SN, BKP and HJM contributed to the conception and design of the study. TP, LPS, ARN, CPF, BMB and HJM analysed the data. ...
doi:10.1007/s00125-012-2533-1
pmid:22450890
fatcat:iy7dbwtp2ngrtfrivj2qwzevva
Association Between Visceral Fat Accumulation and Exercise Tolerance in Non-Obese Subjects Without Diabetes
2018
Journal of Clinical Medicine Research
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Multivariate linear regression analyses demonstrated that visceral fat area, but not abdominal circumference, was significantly and independently associated with maximal oxygen uptake. ...
We examined the associations between visceral fat accumulation, presence of the components of metabolic syndrome (MetS), and exercise tolerance in non-obese subjects without diabetes. ...
Table 4 . 4 Multiple Linear Regression Analysis of Factors on Exercise Tolerance in Non-Obese Subjects β P ...
doi:10.14740/jocmr3403w
pmid:29977420
pmcid:PMC6031249
fatcat:o34nvzvqhvajhhrzmo2ssg626u
Optimal tolerance regions for future regression vector and residual sum of squares of multiple regression model with multivariate spherically contoured errors
2007
Statistical Papers
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The results in this paper are applicable for multiple regression model with normal and Student-t errors. ...
This paper considers multiple regression model with multivariate spherically symmetric errors to determine optimal β-expectation tolerance regions for the future regression vector (FRV) and future residual ...
Acknowledgements The author is grateful to the Coordinating Editor and two unknown referees for some valuable suggestions that have improved the quality of the paper. ...
doi:10.1007/s00362-007-0095-y
fatcat:pc7qbvpqrrfqld7glkbcbdehti
Modelling of Fuel Flow in Climb Phase Through Multiple Linear Regression Based on the Data Collected by Quick Access Recorder
2019
Journal Europeen des Systemes Automatises
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On this basis, the fuel flow model for the climb phase was established through stepwise linear regression and corrected in the light of the tolerance and variance inflation factor (VIF) of each variable ...
This paper performs stepwise linear regression of the data collected by a quick access recorder (QAR), and creates a model of the fuel flow of Boeing 737-700 in the climb phase. ...
Analysis of the preliminary model The tolerance and variance inflation factor (VIF) of each variable in the preliminary linear regression model are shown in Table 2 . ...
doi:10.18280/jesa.520411
fatcat:sziz44ch2rgdlld7wbnoi5q6my
Principal component regression of the morphostructural traits of West African dwarf sheep
2021
Nigerian Journal of Animal Production
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sheep of age range 0-1, 1-2, 2-3 and 3-4 was used in determining age and sex effects using General linear model procedure. ...
Multicollinearity contrast at variance inflation factor (VIF) threshold 3.0 was found to be most associated with rump height, hearth girth and body length; with low tolerance modules. ...
Based on stepwise elimination procedure, HG, HL and WH were better in predicting live weight in multiple linear regression models. ...
doi:10.51791/njap.v43i2.963
fatcat:f6zxps4hh5fghltqsqwbdx6dom
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