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Category:Regression analysis

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This category has the following 10 subcategories, out of 10 total.
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The following 95 pages are in this category, out of 95 total.
392:
Endogeneity with an exponential regression function
484:Heteroskedasticity-consistent standard errors 8: 862:Variance of the mean and predicted responses 196:Simultaneous equation methods (econometrics) 614:Non-linear mixed-effects modeling software 234:This list may not reflect recent changes 565:Linkage disequilibrium score regression 489:Homoscedasticity and heteroscedasticity 229:Pages in category "Regression analysis" 213:Single-equation methods (econometrics) 159:Regression with time series structure 116:Regression and curve fitting software 7: 602:Coefficient of multiple correlation 364:Dependent and independent variables 619:Nonhomogeneous Gaussian regression 238: 209: 192: 155: 72: 48: 37: 29: 14: 511:Instrumental variables estimation 447:General regression neural network 737:Regression discontinuity design 452:Generalized estimating equation 327:Component analysis (statistics) 678:Principal component regression 256:Outline of regression analysis 1: 732:Radial basis function network 720:Quantile regression averaging 693:Projection pursuit regression 142:Regression variable selection 636:Blinder–Oaxaca decomposition 880:Working–Hotelling procedure 646:Optimal experimental design 420:Frisch–Waugh–Lovell theorem 940: 742:Regression toward the mean 550:Limited dependent variable 386:Elastic net regularization 342:Cross-sectional regression 16:The main article for this 15: 779:Smearing retransformation 774:Sliced inverse regression 698:Propensity score matching 560:Linear predictor function 474:Haseman–Elston regression 374:Difference in differences 354:DeFries–Fulker regression 849:Unit-weighted regression 794:Standardized coefficient 769:Simple linear regression 683:Principle of marginality 516:Interaction (statistics) 506:Identifiability analysis 307:Calibration (statistics) 246:Interval predictor model 96:Nonparametric regression 904:Multivariate statistics 587:Moderation (statistics) 533:Knockoffs (statistics) 425:Function approximation 129:Regression diagnostics 759:Scatterplot smoothing 668:Polynomial regression 641:Omitted-variable bias 430:Functional regression 337:Contrast (statistics) 624:Nonlinear regression 398:Errors and residuals 322:Commonality analysis 809:Symbolic regression 804:Suppressor variable 715:Quantile regression 703:Pyrrho's lemma 673:Prediction interval 582:Moderated mediation 457:Generated regressor 403:Explained variation 273:Antecedent variable 251:Regression analysis 23:Regression analysis 909:Numerical analysis 597:Multinomial probit 545:Lasso (statistics) 479:Heckman correction 312:Canonical analysis 285:Bazemore v. Friday 919:Actuarial science 899:Estimation theory 688:Projection matrix 592:Multicollinearity 501:Idempotent matrix 359:Deming regression 332:Conjoint analysis 290:Binary regression 172:Robust regression 76:Regression models 931: 864: 845: 838: 824: 799:Structural break 784:Smoothing spline 747:Ridge regression 658:Policy capturing 521:Interaction cost 415:Fractional model 394: 317:Causal inference 218: 211: 201: 194: 177: 164: 157: 147: 134: 121: 101: 81: 74: 57: 50: 939: 938: 934: 933: 932: 930: 929: 928: 889: 888: 887: 886: 885: 884: 872: 868:Virtual sensing 860: 853: 841: 834: 827: 822:Target function 820: 813: 751: 724: 707: 663:Polygenic score 650: 628: 606: 577:Meta-regression 569: 537: 525: 493: 466: 434: 407: 390: 378: 346: 294: 277: 260: 226: 225: 224: 223: 220: 219: 208: 203: 202: 191: 182: 179: 178: 166: 165: 154: 149: 148: 136: 135: 123: 122: 106: 103: 102: 86: 83: 82: 71: 62: 59: 58: 47: 28: 27: 12: 11: 5: 937: 935: 927: 926: 921: 916: 911: 906: 901: 891: 890: 883: 882: 876: 873: 871: 870: 865: 857: 854: 852: 851: 846: 839: 831: 828: 826: 825: 817: 814: 812: 811: 806: 801: 796: 791: 786: 781: 776: 771: 766: 761: 755: 752: 750: 749: 744: 739: 734: 728: 725: 723: 722: 717: 711: 708: 706: 705: 700: 695: 690: 685: 680: 675: 670: 665: 660: 654: 651: 649: 648: 643: 638: 632: 629: 627: 626: 621: 616: 610: 607: 605: 604: 599: 594: 589: 584: 579: 573: 570: 568: 567: 562: 557: 552: 547: 541: 538: 536: 535: 529: 526: 524: 523: 518: 513: 508: 503: 497: 494: 492: 491: 486: 481: 476: 470: 467: 465: 464: 459: 454: 449: 444: 438: 435: 433: 432: 427: 422: 417: 411: 408: 406: 405: 400: 395: 388: 382: 379: 377: 376: 371: 366: 361: 356: 350: 347: 345: 344: 339: 334: 329: 324: 319: 314: 309: 304: 302:C+-probability 298: 295: 293: 292: 287: 281: 278: 276: 275: 270: 264: 261: 259: 258: 253: 248: 242: 240: 239: 230: 227: 222: 221: 207: 206: 204: 190: 189: 186: 183: 181: 180: 170: 169: 167: 153: 152: 150: 140: 139: 137: 127: 126: 124: 114: 113: 110: 107: 105: 104: 94: 93: 90: 87: 85: 84: 70: 69: 66: 63: 61: 60: 46: 45: 42: 39: 38: 33: 30: 13: 10: 9: 6: 4: 3: 2: 936: 925: 924:Curve fitting 922: 920: 917: 915: 914:Interpolation 912: 910: 907: 905: 902: 900: 897: 896: 894: 881: 878: 877: 874: 869: 866: 863: 859: 858: 855: 850: 847: 844: 840: 837: 836:Under-fitting 833: 832: 829: 823: 819: 818: 815: 810: 807: 805: 802: 800: 797: 795: 792: 790: 787: 785: 782: 780: 777: 775: 772: 770: 767: 765: 762: 760: 757: 756: 753: 748: 745: 743: 740: 738: 735: 733: 730: 729: 726: 721: 718: 716: 713: 712: 709: 704: 701: 699: 696: 694: 691: 689: 686: 684: 681: 679: 676: 674: 671: 669: 666: 664: 661: 659: 656: 655: 652: 647: 644: 642: 639: 637: 634: 633: 630: 625: 622: 620: 617: 615: 612: 611: 608: 603: 600: 598: 595: 593: 590: 588: 585: 583: 580: 578: 575: 574: 571: 566: 563: 561: 558: 556: 553: 551: 548: 546: 543: 542: 539: 534: 531: 530: 527: 522: 519: 517: 514: 512: 509: 507: 504: 502: 499: 498: 495: 490: 487: 485: 482: 480: 477: 475: 472: 471: 468: 463: 460: 458: 455: 453: 450: 448: 445: 443: 440: 439: 436: 431: 428: 426: 423: 421: 418: 416: 413: 412: 409: 404: 401: 399: 396: 393: 389: 387: 384: 383: 380: 375: 372: 370: 369:Design matrix 367: 365: 362: 360: 357: 355: 352: 351: 348: 343: 340: 338: 335: 333: 330: 328: 325: 323: 320: 318: 315: 313: 310: 308: 305: 303: 300: 299: 296: 291: 288: 286: 283: 282: 279: 274: 271: 269: 266: 265: 262: 257: 254: 252: 249: 247: 244: 243: 241: 237: 235: 228: 214: 210: 205: 197: 193: 188: 187: 184: 173: 168: 160: 156: 151: 143: 138: 130: 125: 117: 112: 111: 108: 97: 92: 91: 88: 77: 73: 68: 67: 64: 53: 52:Curve fitting 49: 44: 43: 40: 36: 32:Subcategories 31: 25: 24: 19: 843:Underfitting 555:Line fitting 231: 34: 21: 462:Guess value 217:(3 C, 14 P) 163:(2 C, 17 P) 80:(5 C, 46 P) 56:(1 C, 16 P) 893:Categories 789:Sobel test 200:(1 C, 5 P) 18:category 764:Simalto 442:G-prior 146:(16 P) 133:(25 P) 120:(23 P) 268:Abess 176:(9 P) 100:(9 P) 20:is 895:: 236:. 215:‎ 198:‎ 174:‎ 161:‎ 144:‎ 131:‎ 118:‎ 98:‎ 78:‎ 54:‎ 875:W 856:V 830:U 816:T 754:S 727:R 710:Q 653:P 631:O 609:N 572:M 540:L 528:K 496:I 469:H 437:G 410:F 381:E 349:D 297:C 280:B 263:A 185:S 109:R 89:N 65:M 41:C 26:.

Index

category
Regression analysis

Curve fitting

Regression models
Nonparametric regression
Regression and curve fitting software
Regression diagnostics
Regression variable selection

Regression with time series structure
Robust regression

Simultaneous equation methods (econometrics)

Single-equation methods (econometrics)
This list may not reflect recent changes
Interval predictor model
Regression analysis
Outline of regression analysis
Abess
Antecedent variable
Bazemore v. Friday
Binary regression
C+-probability
Calibration (statistics)
Canonical analysis
Causal inference
Commonality analysis

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