000			01100cam a2200265 a 4500
999			_c39383 _d39383
001			16203078
005			20190330112413.0
008			100426s2011 flua b 001 0 eng
010			_a 2010014490
020			_a9781420077612 (alk. paper)
040			_aDLC _cDLC _dDLC
050	0	0	_aQA278.8 _b.G498 2011
082	0	0	_a519.54 GIB-J _222
100	1		_aGibbons, Jean Dickinson, _d1938-
245	1	0	_aNonparametric statistical inference / _cJean Dickinson Gibbons and Subhabrata Chakraborti.
250			_a5th ed.
260			_aBoca Raton : _bTaylor & Francis, _c2011.
300			_axx, 630 p. : _bill. ; _c25 cm.
365			_aGBP _b69.99
490	0		_aStatistics, textbooks & monographs
500			_aThis classic, best-selling statistics book continues to cover the most commonly used nonparametric procedures. The authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. For most procedures, they present the tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of other relevant procedures. The text also gives examples of computer applications based on Minitab, SAS, and StatXact and compares these examples with corresponding hand calculations. The appendix includes a collection of tables required for solving the data-oriented problems. Nonparametric Statistical Inference, Fifth Edition provides in-depth yet accessible coverage of the theory and methods of nonparametric statistical inference procedures. It takes a practical approach that draws on scores of examples and problems and minimizes the theorem-proof format. Jean Dickinson Gibbons was recently interviewed regarding her generous pledge to Virginia Tech.
504			_aIncludes bibliographical references (p. 605-620) and index.
650		0	_aNonparametric statistics.
700	1		_aChakraborti, Subhabrata.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
955			_bxh00 2010-04-26 _ixh07 2010-04-26 to Dewey _axe10 2011-03-17 1 copy rec'd., to CIP ver.