000			02971nam a2200445Ia 4500
001			2696
008			230305s2015 xx 000 0 und d
020			_a9783319144351
043			_aen_UK
041			_aeng
245		0	_aR for marketing research and analytics
260			_a _bSpringer, _c2015
300			_aXVIII, 454 p.; 23 cm
505			_aWelcome to R _rThe R Language-- _rDescribing Data-- _rRelationships Between Continuous Variables-- _rComparing Groups: Tables and Visualizations-- _rComparing Groups: Statistical Tests-- _rIdentifying Drivers of Outcomes: Linear Models-- _rReducing Data Complexity-- _rAdditional Linear Modeling Topics-- _rConfirmatory Factor Analysis and Structural Equation Modeling-- _rSegmentation: Clustering and Classification-- _rAssociation Rules for Market Basket Analysis-- _rChoice Modeling-- _rConclusion-- _rAppendix: R Versions and Related Software-- _rAppendix: Scaling up-- _rAppendix: Packages Used-- _rIndex.-- _r--
520			_aThis book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.
630			_aHF COMMERCE _914
650		0	_aStatistics _92152
650			_aMathematical statistics _92592
650		0	_aStatistics _xEconomic aspects _92591
650			_a _9794
650		0	_aManagement _9319
650			_a _9794
650		0	_aEconomics _92587
650			_a _9794
650		0	_aFinance _93911
650			_a _9794
650			_aInsurance _911877
650		0	_aStatistics _xComputer programs _911878
650			_aStatistics Programs _911879
650			_a _912
650		0	_aMarketing _91020
700			_aMcDonnell Feit, Elea _eAuthor _911880
700			_aChapman, Chris _eAuthor _911881
902			_a352
905			_am
912			_a2015-01-01
942			_a1
953			_d2019-10-23 18:20:17
999			_c2598 _d2598