000			02267ctm a22003017i 4500
001			19549711
008			170310t20172017inua 001 0 eng d
020			_a9781119003557
020			_a1119003555
040			_aPGIML _beng
060			_aWA 20.5 _bK 23 _2
100			_aMcCormick, K. _eauthor. _94885
245	1	0	_aSPSS statistics for data analysis and visualization _cKeith McCormick, Jesus Salcedo, with Jon Peck and Andrew Wheeler.
260			_aUSA: _bJohn Wiley & Sons; _c2017
300			_axxxviii, 490 pages : _billustrations ; _c24 cm.
504			_aIncludes index.
505	0		_aPart I. Advanced statistics -- Comparing and contrasting IBM SPSS AMOS with other multivariate techniques -- Monte Carlo simulation and IBM SPSS bootstrapping -- Regression with categorical outcome variables -- Building hierarchical linear models -- Part II. Data visualization -- Take your data visualizations to the next level -- The code behind SPSS graphics: graphics production language -- Mapping in IBM SPSS statistics -- Geospatial analytics -- Perceptual mapping with correspondence analysis, GPL, and OMS -- Display complex relationships with multidimensional scaling -- Part III. Predictive analysis -- SPSS statistics versus SPSS modeler: can I be a data miner using SPSS statistics? -- IBM SPSS data preparation -- Model complex interactions with IBM SPSS neural networks -- Powerful and intuitive: IBM SPSS decision trees -- Find patterns and make predictions with K nearest neighbors -- Part IV. Syntax, data management, and programmability -- Write more efficient and elegant code with SPSS syntax techniques -- Automate your analyses with SPSS syntax and the output management system -- Statistical extension commands.
650		0	_aSocial sciences _xSPSS (Computer file) _xStatistical methods _xComputer programs.
650		7	_aSocial sciences _xStatistical methods _xComputer programs. _2fast
700			_aSalcedo J. _c(Consultant), _eauthor. _94886
700			_aPeck, J. _eauthor. _94887
700			_aWheeler, A. _eauthor. _94888
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c4542 _d4542