المؤلفون: David P. Hofmeyr

المصدر: Journal of Statistical Software, Vol 101, Pp 1-33 (2022)

مصطلحات موضوعية: kernel smoothing, non-parametric, density estimation, regression, projection pursuit, independent component analysis, Statistics, HA1-4737

وصف الملف: electronic resource

العلاقة: https://www.jstatsoft.org/index.php/jss/article/view/4026Test; https://doaj.org/toc/1548-7660Test

الوصول الحر: https://doaj.org/article/2375fe448a2148c0940381a253d5c8e8Test

المؤلفون: Dian Anggraeni, Alfian Futuhul Hadi, Rio Pradani Putra

المصدر: Indonesian Journal of Statistics and Its Applications. 5:326-332

مصطلحات موضوعية: Variable (computer science), Projection pursuit regression, Scale (ratio), Mean squared error, Atmospheric circulation, Climatology, Tropical climate, Environmental science, Regression, Downscaling

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::8dee815ae384b19ef7d3e1aad7624119Test
https://doi.org/10.29244/ijsa.v5i2p326-332Test

المؤلفون: Sven Serneels, Tim Verdonck, Emmanuel Jordy Menvouta

المصدر: SoftwareX

مصطلحات موضوعية: Computer. Automation, Technology, Science & Technology, PROJECTION, PARTIAL LEAST-SQUARES, Robust statistics, Computer Science, Software Engineering, Dimensionality reduction, Energy statistics, Statistical learning, Computer Science Applications, Sufficient dimension reduction, Computer Science, REGRESSION, SPARSE, Projection pursuit, Software

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::989c255ea4f8a1e45c9a8026ab625502Test
https://doi.org/10.1016/j.softx.2022.101282Test

المؤلفون: Jacques Touboul

المصدر: Entropy, Vol 12, Iss 6, Pp 1581-1611 (2010)

مصطلحات موضوعية: projection pursuit, minimum ϕ-divergence, elliptical distribution, goodness-of-fit, copula, regression, Science, Astrophysics, QB460-466, Physics, QC1-999

وصف الملف: electronic resource

العلاقة: http://www.mdpi.com/1099-4300/12/6/1581Test/; https://doaj.org/toc/1099-4300Test

الوصول الحر: https://doaj.org/article/038da2c754ec4af2b48a64ae305690eaTest

المؤلفون: Morrissey, Michael B.

المصدر: Morrissey , M B 2014 , ' In search of the best methods for multivariate selection analysis ' , Methods in Ecology and Evolution , vol. 5 , no. 10 , pp. 1095-1109 . https://doi.org/10.1111/2041-210X.12259Test

مصطلحات موضوعية: Natural selection, Selection gradients, Colinearity, Tables of statistics, Regularized regression, Projection-pursuit regression, Informative priors, Natural-selection, Soay sheep, Trade-offs, Fluctuating selection, Directional selection, Phenotypic selection, Sexual selection, Body-size, Evolution, Regression

وصف الملف: application/pdf

العلاقة: https://research-portal.st-andrews.ac.uk/en/researchoutput/in-search-of-the-best-methods-for-multivariate-selection-analysisTest(eef2dd8c-856b-4435-981e-a15b2e0ccc1d).html

الإتاحة: https://doi.org/10.1111/2041-210X.12259Test
https://research-portal.st-andrews.ac.uk/en/researchoutput/in-search-of-the-best-methods-for-multivariate-selection-analysisTest(eef2dd8c-856b-4435-981e-a15b2e0ccc1d).html
https://research-repository.st-andrews.ac.uk/bitstream/10023/7669/1/MVSelectionMethods.pdfTest

المؤلفون: Ellis, Steven P.

المصدر: The Annals of Statistics, 1995 Apr 01. 23(2), 490-501.

الوصول الحر: https://www.jstor.org/stable/2242348Test

المؤلفون: Hsing, Tailen, Carroll, Raymond J.

المصدر: The Annals of Statistics, 1992 Jun 01. 20(2), 1040-1061.

الوصول الحر: https://www.jstor.org/stable/2241996Test

المؤلفون: Hardle, Wolfgang, Hall, Peter, Ichimura, Hidehiko

المصدر: The Annals of Statistics, 1993 Mar 01. 21(1), 157-178.

الوصول الحر: https://www.jstor.org/stable/3035585Test

المؤلفون: Mohsen Tabejamaat, Hoda Mohammadzade

المصدر: Scientia Iranica.

مصطلحات موضوعية: medicine.diagnostic_test, Mean squared error, Computer science, business.industry, General Engineering, 020101 civil engineering, Pattern recognition, 02 engineering and technology, Electroencephalography, Regression, 0201 civil engineering, Nonlinear system, Spline (mathematics), Projection pursuit regression, medicine, Artificial intelligence, Regression algorithm, business, Curse of dimensionality

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::db6e65bcd5a5ccf5574a23705a2ef921Test
https://doi.org/10.24200/sci.2020.53905.3479Test

المؤلفون: Hofmeyr, David P.

المصدر: Journal of Statistical Software; Vol. 101 (2022); 1-33

مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, kernel smoothing, Statistics - Computation, computational statistics, projection pursuit, independent component analysis, density estimation, non-parametric, regression, Statistics, Probability and Uncertainty, Computation (stat.CO), Software

وصف الملف: application/pdf; application/gzip; text/plain

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca0f9afb637e34b292cce5e4fc4970b4Test
http://arxiv.org/abs/2001.02225Test