Graphical Evaluation of the Ridge-Type Robust Regression Estimators in Mixture Experiments

<table>The FDS plots for different <svg height="9.80889pt" id="M241" style="vertical-align:-0.1625805pt" version="1.1" viewbox="0 -9.64631 6.81474 9.80889" width="6.81474pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.0135,0,0,-0.0135,0,0)"><path d="M480 416C480 431 465 448 438 448C388 448 312 383 252 330C217 299 188 273 155 237H153L257 680C262 700 263 712 253 712C240 712 183 684 97 674L92 648L126 647C166 646 172 645 163 606L23 -6L29 -12C51 -5 77 2 107 8C115 62 130 128 142 180C153 193 179 220 204 241C231 170 259 106 288 54C317 0 336 -12 358 -12C381 -12 423 2 477 80L460 100C434 74 408 54 398 54C385 54 374 65 351 107C326 154 282 241 263 299C296 332 351 377 403 377C424 377 436 372 445 368C449 366 456 368 462 375C472 386 480 402 480 416Z" id="g113-108"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="503" vert-adv-y="503"></glyph.data></g></svg> values according to the randomly generated mixture, where <svg height="17.3193pt" id="M242" style="vertical-align:-4.583699pt" version="1.1" viewbox="0 -12.7356 53.7905 17.3193" width="53.7905pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.0135,0,0,-0.0135,.918,-3.713)"><path d="M470 557C393 591 314 624 246 666H224C156 624 76 591 0 557L12 532C86 550 163 573 235 596C309 572 384 550 458 532L470 557Z" id="g119-17"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="470" vert-adv-y="470"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,0,0)"><path d="M584 573C584 646 528 703 441 703C387 703 327 679 274 632C202 568 166 493 132 302L57 -122C43 -201 35 -214 21 -227L25 -246C54 -244 122 -236 156 -203C168 -191 175 -162 195 -40L261 369C291 556 318 652 391 652C431 652 465 620 465 543C465 497 449 456 408 422C395 411 364 405 340 403L309 336C386 319 447 279 447 188C447 105 419 50 329 50C290 50 253 63 226 77L216 55C218 23 252 -16 286 -16C324 -16 369 3 419 31C488 69 575 149 575 238C575 325 516 369 437 400C516 443 584 486 584 573Z" id="g5-224"></path><glyph.data ascent="3481" descent="-2878" horiz-adv-x="605" vert-adv-y="605"></glyph.data></g><g transform="matrix(.0095,0,0,-0.0095,8.227,3.823)"><path d="M636 22C611 29 589 38 560 74C536 104 518 134 495 173L430 300C518 328 592 392 592 492C592 555 563 594 528 618C491 643 435 650 377 650H140L131 618C222 610 223 601 208 518L137 136C121 43 116 40 27 32L18 0H295L300 32C212 40 206 42 223 138L248 279H296C334 279 350 272 369 230C393 174 413 140 441 94C482 24 523 1 626 -8L636 22ZM497 480C497 422 468 374 417 343C387 324 353 315 304 315H255L298 556C303 583 309 598 319 603C331 610 348 613 367 613C448 613 497 573 497 480Z" id="g50-83"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="654" vert-adv-y="654"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,18.565,0)"><path d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z" id="g117-34"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="587" vert-adv-y="587"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,31.22,-3.713)"><path d="M470 557C393 591 314 624 246 666H224C156 624 76 591 0 557L12 532C86 550 163 573 235 596C309 572 384 550 458 532L470 557Z" id="g119-17"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="470" vert-adv-y="470"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,30.303,0)"><path d="M584 573C584 646 528 703 441 703C387 703 327 679 274 632C202 568 166 493 132 302L57 -122C43 -201 35 -214 21 -227L25 -246C54 -244 122 -236 156 -203C168 -191 175 -162 195 -40L261 369C291 556 318 652 391 652C431 652 465 620 465 543C465 497 449 456 408 422C395 411 364 405 340 403L309 336C386 319 447 279 447 188C447 105 419 50 329 50C290 50 253 63 226 77L216 55C218 23 252 -16 286 -16C324 -16 369 3 419 31C488 69 575 149 575 238C575 325 516 369 437 400C516 443 584 486 584 573Z" id="g5-224"></path><glyph.data ascent="3481" descent="-2878" horiz-adv-x="605" vert-adv-y="605"></glyph.data></g><g transform="matrix(.0095,0,0,-0.0095,38.56,4.441)"><path d="M692 302H438V274C537 267 543 260 543 188V103C543 61 531 48 511 37C489 26 458 20 424 20C231 20 146 188 146 333C146 517 258 630 411 630C507 630 582 597 606 474L634 480C627 546 622 601 619 636C586 643 510 665 426 665C230 665 44 552 44 321C44 122 191 -15 411 -15C491 -15 573 7 635 21C629 49 628 81 628 116V202C628 261 632 266 692 274V302Z" id="g190-72"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="715" vert-adv-y="715"></glyph.data></g><g transform="matrix(.0095,0,0,-0.0095,45.341,4.441)"><path d="M861 0V28C774 35 771 41 768 147L759 509C756 612 762 614 851 622V650H681L449 149L221 650H57V622C148 613 153 609 144 479L130 271C123 166 117 123 111 88C104 46 85 34 26 28V0H259V28C192 35 169 42 167 90C166 130 166 173 170 256L185 541H187L411 7H431L675 555H679L683 147C683 41 680 35 598 28V0H861Z" id="g190-78"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="891" vert-adv-y="891"></glyph.data></g></svg>.</table>

The Scientific World Journal

fig1

Figure 1

Figure 1: Graphical Evaluation of the Ridge-Type Robust Regression Estimators in Mixture Experiments 