000			01573cam a2200349Ia 4500
001			ocn253729714
003			OSt
005			20131220122646.0
008			080919s2008 nyua b 001 0 eng d
010			_a2008932040
015			_a08,N17,0511 _2dnb
020			_a9780387790534 (pbk. : alk. paper)
020			_a0387790535 (pbk. : alk. paper)
020			_a9780387790541
020			_a0387790543
028	5	2	_a11012689
040			_aIAI _beng _cIAI _dBWX _dDLC _dCDX _dNLGGC _dMUQ _dUBA _dHEBIS _dDEBBG _dBTCTA _dBAKER _dYDXCP _dOHX _dLTU _dOCL _dYAM _dDEBSZ
050	0	0	_aQA276.45.R3 _bD35 2008
082	0	0	_a519.5 _222 _bDAL-I 2008 805303
100	1		_aDalgaard, Peter.
245	1	0	_aIntroductory statistics with R / _cPeter Dalgaard.
250			_a2nd ed.
260			_aNew York : _bSpringer, _cc2008.
300			_axvi, 363 p. : _bill. ; _c24 cm.
490	1		_aStatistics and computing.
504			_aIncludes bibliographical references (p. [355]-356) and index.
505	0		_aBasics -- The R environment -- Probability and distributions -- Descriptive statistics and graphics -- One- and two-sample tests -- Regression and correlation -- Analysis of variance and the Kruskal-Wallis test -- Tabular data -- Power and the computation of sample size -- Advanced data handling -- Multiple regression -- Linear models -- Logistic regression -- Survival analysis -- Rates and Poisson regression -- Nonlinear curve fitting.
650		0	_aStatistics _xData processing.
650		0	_aR (Computer program language)
830		0	_aStatistics and computing.
942			_2ddc _cBK
999			_c3069 _d3069