000			03409nam a22005415i 4500
001			978-0-387-69813-7
003			DE-He213
005			20250710084010.0
007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9780387698137 _a99780387698137
024	7		_a10.1007/978-0-387-69813-7 _2doi
082	0	4	_a519.5 _223
100	1		_aMielke, Paul W. _eauthor.
245	1	0	_aPermutation Methods _h[recurso electrónico] : _bA Distance Function Approach / _cby Paul W. Mielke, Kenneth J. Berry.
250			_aSecond.
264		1	_aNew York, NY : _bSpringer New York, _c2007.
300			_aXVIII, 446 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Statistics, _x0172-7397
505	0		_aDescription of MRPP -- Additional MRPP Applications -- Description of MRBP -- Regression Analysis, Prediction, and Agreement -- Goodness-of-Fit Tests -- Contingency Tables -- Multisample Homogeneity Tests -- Selected Permutation Studies.
520			_aMost commonly-used parametric and permutation statistical tests, such as the matched-pairs t test and analysis of variance, are based on non-metric squared distance functions that have very poor robustness characteristics. This second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses. In addition to permutation techniques described in the first edition, this second edition also contains various new permutation statistical methods and studies that include resampling multiple contingency table analyses, analysis concerns involving log-linear models with small samples, an exact discrete analog of Fisher's continuous method for combining P-values that arise from small data sets, multiple dichotomous response analyses, problems regarding Fisher's Z transformation for correlation analyses, and multivariate similarity comparisons between corresponding multiple categories of two samples. Paul W. Mielke, Jr. is Professor of Statistics at Colorado State University, and a fellow of the American Statistical Association. Kenneth J. Berry is Professor of Sociology at Colorado State University.
650		0	_aSTATISTICS.
650		0	_aDATA MINING.
650		0	_aBIOMETRICS.
650		0	_aMATHEMATICAL STATISTICS.
650		0	_aENVIRONMENTAL TOXICOLOGY.
650		0	_aPSYCHOMETRICS.
650	1	4	_aSTATISTICS.
650	2	4	_aSTATISTICAL THEORY AND METHODS.
650	2	4	_aBIOMETRICS.
650	2	4	_aDATA MINING AND KNOWLEDGE DISCOVERY.
650	2	4	_aPSYCHOMETRICS.
650	2	4	_aPUBLIC HEALTH/GESUNDHEITSWESEN.
650	2	4	_aECOTOXICOLOGY.
700	1		_aBerry, Kenneth J. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387698113
830		0	_aSpringer Series in Statistics, _x0172-7397
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-69813-7 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c58137 _d58137