000			02148cam a22003738i 4500
001			21645939
005			20241202103537.0
008			200730s2020 nju b 001 0 eng c
010			_a 2020034055
020			_a9781119578727
020			_z9781119578741
020			_z9781119578758
040			_aWaSeSS/DLC _beng _erda _cDLC
042			_apcc
050	0	0	_aQA278.2 _b.M66 2021
082	0	0	_a519.5/36 _223
100	1		_aMontgomery, Douglas C., _eauthor. _927265
245	1	0	_aIntroduction to linear regression analysis / _cDouglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining.
250			_aSixth edition.
260			_aHoboken, New Jersey : _bWiley, _cc2021
263			_a2010
300			_axv, 673pages _c23cm
490	0		_aWiley series in probability and statistics
504			_aIncludes bibliographical references and index.
505			_aIntroduction -- Simple linear regression --Multiple linear regression -- Model adequacy checking -- Transformations and weighting to correct model inadequacies -- Diagnostics for leverage and influence -- Polynomial regression models -- Indicator variables -- Multicollinearity -- Variable selection and model building -- Validation of regression models -- Introduction to nonlinear regression -- Generalized linear models -- Regression analysis of time series data --- Other topics in the use of regression analysis
520			_a"In statistics, linear regression is a linear approach to modelling the relationship between a scalar response and one or more explanatory variables. A linear regression model attempts to explain the relationship between two or more variables using a straight line."--
650		0	_aRegression analysis. _927266
700	1		_aPeck, Elizabeth A., _d1953- _eauthor. _927267
700	1		_aVining, G. Geoffrey, _d1954- _eauthor. _927268
776	0	8	_iOnline version: _aMontgomery, Douglas C., _tIntroduction to linear regression analysis _bFifth edition. _dHoboken, New Jersey : Wiley, [2020] _z9781119578741 _w(DLC) 2020034056
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK _kQA 278.2 _m.M33 2021
999			_c9383 _d9383