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List of unsolved problems in statistics

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of hypotheses. Of particular interest is how to simultaneously control the overall error rate, preserve statistical power, and incorporate the dependence between tests into the adjustment. These issues are especially relevant when the number of simultaneous tests can be very large, as is
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are generally of a different flavor; according to John Tukey, "difficulties in identifying problems have delayed statistics far more than difficulties in solving problems." A list of "one or two open problems" (in fact 22 of them) was given by
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is often used to estimate the common mean of two normal populations with unknown and possibly unequal variances. Though this estimator is generally unbiased, its
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Pal, Nabendu; Lim, Wooi K. (1997). "A note on second-order admissibility of the Graybill-Deal estimator of a common mean of several normal populations".
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Cox, D. R. (1984). "Present Position and Potential Developments: Some Personal Views: Design of Experiments and Regression".
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for the difference of two means when the variances are unknown and possibly unequal. That is, there is no
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and may never be able to satisfy particular standards for completeness. You can help by
153: 327: 611: 87: 422: 175: 65: 147:: There are various ways to adjust p-values to compensate for the simultaneous or 131:) that is also the most powerful for all values of the variances (which are thus 484: 459: 112: 120: 40: 361: 414: 300: 265: 244:
Tukey, John W. (1954). "Unsolved Problems of Experimental Statistics".
216: 92: 220: 292: 257: 203:: How is a probability updated when there is unanticipated new data? 123:(meaning that, if the means are in fact equal, one that rejects the 164:: A list of open problems in Bayesian statistics has been proposed. 224: 227:
given only an estimate of the total number of humans born so far?
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Journal of the Royal Statistical Society. Series A (General)
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could have immediate applicability to experimental design.
135:). Though there are many approximate solutions (such as 37:
for which a solution has still not yet been found. The
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Zabell, S. L. (1992). "Predicting the unpredictable".
377:"What are the open problems in Bayesian statistics?" 152:increasingly the case in the analysis of data from 343:"Studentization and deriving accurate p-values" 246:Journal of the American Statistical Association 508: 472:Journal of Modern Applied Statistical Methods 441:Statistical Problems with Nuisance Parameters 316:Journal of Statistical Planning and Inference 8: 515: 501: 493: 483: 236: 193:Problems of a more philosophical nature 341:Fraser, D.A.S.; Rousseau, J. (2008). 7: 68:are large (a situation Tukey termed 14: 443:. American Mathematical Society. 628:Unsolved problems in mathematics 115:showed in 1966 that there is no 35:unsolved problems in mathematics 64:, especially in sciences where 458:Sawilowsky, Shlomo S. (2002). 58:How to detect and correct for 1: 328:10.1016/S0378-3758(96)00202-9 39:notable unsolved problems in 117:uniformly most powerful test 33:There are many longstanding 200:Sampling of species problem 644: 618:Lists of unsolved problems 17: 532: 485:10.22237/jmasm/1036109940 185:problems in Latin squares 623:Statistics-related lists 178:is a cornerstone in the 77:Graybill–Deal estimator 439:Linnik, Jurii (1968). 375:Jordan, M. I. (2011). 213:probabilistic argument 108:Behrens–Fisher problem 95:can be combined using 362:10.1093/biomet/asm093 180:design of experiments 129:probability exactly α 91:: Though independent 70:uncomfortable science 53:Inference and testing 144:Multiple comparisons 83:remains to be shown. 24:adding missing items 211:: How valid is the 169:Experimental design 161:Bayesian statistics 133:nuisance parameters 572:Information theory 415:10.1007/bf00485351 149:sequential testing 101:dependent p-values 605: 604: 525:unsolved problems 384:The ISBA Bulletin 208:Doomsday argument 174:As the theory of 61:systematic errors 635: 552:Computer science 517: 510: 503: 494: 489: 487: 454: 427: 426: 398: 392: 391: 381: 372: 366: 365: 347: 338: 332: 331: 311: 305: 304: 276: 270: 269: 252:(268): 706–731. 241: 223:lifetime of the 28:reliable sources 643: 642: 638: 637: 636: 634: 633: 632: 608: 607: 606: 601: 528: 521: 467: 463: 457: 451: 438: 435: 430: 400: 399: 395: 379: 374: 373: 369: 345: 340: 339: 335: 313: 312: 308: 293:10.2307/2981685 278: 277: 273: 258:10.2307/2281535 243: 242: 238: 234: 215:that claims to 195: 171: 154:DNA microarrays 125:null hypothesis 97:Fisher's method 55: 31: 12: 11: 5: 641: 639: 631: 630: 625: 620: 610: 609: 603: 602: 600: 599: 594: 589: 584: 579: 574: 569: 564: 559: 554: 549: 544: 539: 533: 530: 529: 522: 520: 519: 512: 505: 497: 491: 490: 465: 461: 455: 449: 434: 431: 429: 428: 393: 367: 333: 306: 287:(2): 306–315. 271: 235: 233: 230: 229: 228: 204: 194: 191: 190: 189: 182:, solving the 170: 167: 166: 165: 157: 140: 137:Welch's t-test 104: 84: 73: 54: 51: 13: 10: 9: 6: 4: 3: 2: 640: 629: 626: 624: 621: 619: 616: 615: 613: 598: 595: 593: 590: 588: 585: 583: 580: 578: 575: 573: 570: 568: 565: 563: 562:Fair division 560: 558: 555: 553: 550: 548: 545: 543: 540: 538: 535: 534: 531: 527:by discipline 526: 518: 513: 511: 506: 504: 499: 498: 495: 486: 481: 477: 473: 469: 456: 452: 450:0-8218-1570-9 446: 442: 437: 436: 432: 424: 420: 416: 412: 408: 404: 397: 394: 389: 385: 378: 371: 368: 363: 359: 355: 351: 344: 337: 334: 329: 325: 321: 317: 310: 307: 302: 298: 294: 290: 286: 282: 275: 272: 267: 263: 259: 255: 251: 247: 240: 237: 231: 226: 222: 218: 214: 210: 209: 205: 202: 201: 197: 196: 192: 187: 186: 181: 177: 176:Latin squares 173: 172: 168: 163: 162: 158: 155: 150: 146: 145: 141: 138: 134: 130: 126: 122: 118: 114: 110: 109: 105: 102: 98: 94: 90: 89: 88:Meta-analysis 85: 82: 81:admissibility 78: 74: 71: 67: 66:random errors 63: 62: 57: 56: 52: 50: 48: 43: 42: 36: 29: 25: 21: 16: 596: 587:Neuroscience 475: 471: 440: 406: 402: 396: 387: 383: 370: 353: 349: 336: 319: 315: 309: 284: 280: 274: 249: 245: 239: 206: 198: 183: 159: 142: 106: 86: 59: 38: 32: 20:dynamic list 15: 577:Mathematics 523:Well-known 113:Yuri Linnik 612:Categories 597:Statistics 567:Geoscience 433:References 409:(2): 205. 350:Biometrika 225:human race 121:exact test 41:statistics 18:This is a 557:Economics 547:Chemistry 537:Astronomy 390:(1): 1–5. 322:: 71–78. 47:David Cox 582:Medicine 403:Synthese 356:: 1–16. 93:p-values 592:Physics 542:Biology 423:9416747 301:2981685 266:2281535 217:predict 447:  421:  299:  264:  221:future 478:(2). 419:S2CID 380:(PDF) 346:(PDF) 297:JSTOR 262:JSTOR 232:Notes 127:with 26:with 445:ISBN 219:the 75:The 480:doi 464:≠ σ 411:doi 358:doi 324:doi 289:doi 285:147 254:doi 614:: 474:. 470:. 417:. 407:90 405:. 388:18 386:. 382:. 354:95 352:. 348:. 320:63 318:. 295:. 283:. 260:. 250:49 248:. 111:: 72:). 49:. 516:e 509:t 502:v 488:. 482:: 476:1 468:" 466:2 462:1 453:. 425:. 413:: 364:. 360:: 330:. 326:: 303:. 291:: 268:. 256:: 156:. 103:. 30:.

Index

dynamic list
adding missing items
reliable sources
unsolved problems in mathematics
statistics
David Cox
systematic errors
random errors
uncomfortable science
Graybill–Deal estimator
admissibility
Meta-analysis
p-values
Fisher's method
dependent p-values
Behrens–Fisher problem
Yuri Linnik
uniformly most powerful test
exact test
null hypothesis
probability exactly α
nuisance parameters
Welch's t-test
Multiple comparisons
sequential testing
DNA microarrays
Bayesian statistics
Latin squares
design of experiments
problems in Latin squares

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