The Jackknife Interval Estimation of Parametersin Partial Least Squares Regression Modelfor Poverty Data Analysis
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D. M. Pirouz, 2006, ”An overview of partial least squares”, The Paul Merage School of Business University of California.
T. Naes, T. Isaksson, T. Fearn, and T. Davies, 2004, “Multivariate calibration and classification”, Chichester, UK : NIR "Publications.
R. D. Tobias, 1997, “An introduction to partial least squares regression”, Cary, NC. SAS Institute.
O. Yeniay, and A. Goktas, 2002, “A Comparison of partial least square regression with other prediction methods”, Hacettepe Journal of Mathematics and Statistics, Vol.31, pp. 91-111.
N. Adnan, M. H. Ahmad and R. Adnan, 2006, “A comparative study on some methods for handling multicollinearity problems”, Matematika, Vol.22, No.2, pp. 109-119.
A. L. Boulesteix, and K. Strimmer, 2006, “Partial least squares: a versantile tool for the analysis of high dimenstional genomic data”, Munic.
A. Herve, 2007, “Partial least squares regression", Encyclopedia of Measurement and Statistics, Thousand Oaks (CA), Sage.
G. Sanchez, 2009, “Understanding partial least squares path modeling with r”, Academic Paper Universitat Politècnica de Catalunya.
N. Sellin, 1992, “Partial least squares modeling in research on educational achievement”, Otto Versand, Hamburg.
R.V. Leeden, E. Meijer, and F. M. T. A. Busing, 2008, “Resampling multilevel models”, Handbook of Multilevel Analysis, Springer.
B. Efron, and G. Gong, 1983, “A leisurely look at the bootstrap, the jackknife, and cross validation”, The American Statistician, Vol. 37, No.1, pp. 36-48.
F. Mosteller, and J. W. Tukey, 1977, “Data analisis and regression”, California: Addison Wesley.
L. Wasserman, 2006, “All of nonparametric statistics”, Springer Science, USA.
E. J. Dudewicz, and S. N. Misrha, 1988, “Modern mathematical statistics”, New York.
DOI: http://dx.doi.org/10.12962/j20882033.v21i3.42
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