"Influence of Cotton Fiber Properties on Yarn Strength"@en . "2"^^ . "CDROM" . "2004-01-01+01:00"^^ . "Militk\u00FD, Ji\u0159\u00ED" . "IIT Delhi" . "Cotton Fiber;Yarn Strength"@en . . . "RIV/46747885:24410/04:00000115!RIV/2005/MSM/244105/N" . . . "11"^^ . . "International Conference on Cotton" . . "Influence of Cotton Fiber Properties on Yarn Strength" . "P(LN00B090)" . "Pro predikci pevnosti p\u0159\u00EDte z valstnost\u00ED vl\u00E1ken ur\u010Den\u00FDch pomoc\u00ED HIV je vyu\u017Eito statistick\u00E9ho modelov\u00E1n\u00ED. Jsou kombinov\u00E1ny postupy pr\u016Fzkumov\u00E9 anal\u00FDzy s paeci\u00E1ln\u00EDmi regresn\u00EDmi grafy. Pro konstrukci predik\u010Dn\u00EDho melu je pou\u017Eit predikovan\u00FD korela\u010Dn\u00ED koeficien"@cs . "K\u0159emen\u00E1kov\u00E1, Dana" . "Influence of Cotton Fiber Properties on Yarn Strength"@en . . "Delhi, India" . "Delhi, India" . . "The application of statistical analysis for prediction of yarn strength from cotton fibers data obtained by HVI is presented. The graphically oriented method of prediction type models building is described. This method is based on the special projectionenabling the investigation of partial dependence of response on the selected exploratory variable (partial regression graphs). For selection of predictive model the predicted correlation coefficient PR is proposed This strategy is applied for special setof published cotton fiber data. Their analysis shows that proposed approach leads to the model with better predictability and simpler structure in comparison with classical regression approach." . . "RIV/46747885:24410/04:00000115" . . . "[5C44D901169D]" . "Vliv vlastnosti bavln\u011Bn\u00FDch vl\u00E1ken na pevnost p\u0159\u00EDze"@cs . "The application of statistical analysis for prediction of yarn strength from cotton fibers data obtained by HVI is presented. The graphically oriented method of prediction type models building is described. This method is based on the special projectionenabling the investigation of partial dependence of response on the selected exploratory variable (partial regression graphs). For selection of predictive model the predicted correlation coefficient PR is proposed This strategy is applied for special setof published cotton fiber data. Their analysis shows that proposed approach leads to the model with better predictability and simpler structure in comparison with classical regression approach."@en . . . . "24410" . . "Influence of Cotton Fiber Properties on Yarn Strength" . "567845" . . "Vliv vlastnosti bavln\u011Bn\u00FDch vl\u00E1ken na pevnost p\u0159\u00EDze"@cs . "2"^^ .