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Titre : Basic Business Statistics Type de document : e-book Mention d'édition : 14th ed. Editeur : Harlow : PEARSON EDUCATION LIMITED Année de publication : 2019 Importance : 910 p. ISBN/ISSN/EAN : 978-1-292-26513-1 Langues : Anglais (eng) Mots-clés : Management
STATISTIQUERésumé : For one- or-two-semester courses in business statistics. Give students the statistical foundation to hone their analysis skills for real-world decisions Basic Business Statistics helps students see the essential role that statistics will play in their future careers by using examples drawn from all functional areas of real-world business. Guided by principles set forth by ASA’s Guidelines for Assessment and Instruction (GAISE) reports and the authors’ diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. The 14th Edition includes new and updated resources and tools to enhance students’ understanding, and provides the best framework for learning statistical concepts. Nombre d'accès : 1 En ligne : http://library.ez.neoma-bs.fr/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=491020
Titre : Introduction to Probability Type de document : e-book Auteurs : Joseph K. BLITZSTEIN ; Jessica HWANG Mention d'édition : 2d ed. Editeur : Boca Raton : CRC PRESS LLC Année de publication : 2019 Importance : 636 p. ISBN/ISSN/EAN : 978-0-429-76674-9 Langues : Anglais (eng) Mots-clés : Management
STATISTIQUERésumé : The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment. The second edition adds many new examples, exercises, and explanations, to deepen understanding of the ideas, clarify subtle concepts, and respond to feedback from many students and readers. Nombre d'accès : 1 En ligne : https://library.ez.neoma-bs.fr/login?url=https://ebookcentral.proquest.com/lib/n [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=577692
Titre : R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics Type de document : e-book Auteurs : J. D. LONG ; Paul TEETOR Mention d'édition : 2d ed. Editeur : Sebastopol, CA : O'Reilly Media Inc. Année de publication : 2019 Importance : 601 p. ISBN/ISSN/EAN : 978-1-4920-4063-7 Langues : Anglais (eng) Mots-clés : Management
STATISTIQUERésumé : Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an intermediate user, this book will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data. Nombre d'accès : 1 En ligne : http://library.ez.neoma-bs.fr/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=514661
Titre : R for Marketing Research and Analytics Type de document : e-book Auteurs : Chris CHAPMAN ; Elea MCDONNELL FEIT Mention d'édition : 2d ed. Editeur : Springer Année de publication : 2019 Importance : 492 p. (Accès illimité) ISBN/ISSN/EAN : 978-3-030-14316-9 Langues : Anglais (eng) Mots-clés : Management
STATISTIQUE ; MODELE DE MARKETING ; RECHERCHERésumé : The 2nd edition of R for Marketing Research and Analytics continues to be the best place to learn R for marketing research. This 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. The 2nd edition increases the book's utility for students and instructors with the inclusion of exercises and classroom slides. At the same time, it retains all of the features that make it a vital resource for practitioners: non-mathematical exposition, examples modeled on real world marketing problems, intuitive guidance on research methods, and immediately applicable code. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=491030 Statistics for Social Understanding / Nancy WHITTIER / Oxford : ROWMAN & LITTLEFIELD PUBLISHERS (2019)
Titre : Statistics for Social Understanding : With Stata and SPSS Type de document : e-book Auteurs : Nancy WHITTIER ; Tina WILDHAGEN ; Howard J. GOLD Editeur : Oxford : ROWMAN & LITTLEFIELD PUBLISHERS Année de publication : 2019 Importance : 696 p. ISBN/ISSN/EAN : 978-1-5381-0984-7 Langues : Anglais (eng) Mots-clés : Management
SCIENCES HUMAINES ET SOCIALES ; STATISTIQUERésumé : Statistics for Social Understanding: With Stata and SPSS introduces students to the way statistics is used in the social sciences--as a tool for advancing understanding of the social world. Written in an engaging and clear voice and based on the latest research on the teaching and learning of quantitative material, the text is geared to introductory students in the social sciences, including those with little quantitative background. It covers the conceptual aspects of statistics even when the mathematical details are minimized. Informed by research on teaching and learning in statistics, the book takes a universal design approach to accommodate diverse learning styles. With an early chapter on cross-tabulation, a focus on comparisons between groups throughout, and a unique chapter on causality, the text shows students the power of statistics for answering important real-world questions. By providing thorough coverage of social science statistical topics, a balanced approach to calculation, and step-by-step directions on how to use statistical software, authors Nancy Whittier, Tina Wildhagen, and Howard J. Gold give students the ability to analyze data and explore and answer exciting questions. To accommodate changing undergraduate courses, the text incorporates examples from both Stata and SPSS in every chapter and provides practice problems of every type as well as readily available datasets for classroom use, including the General Social Survey, American National Election Study, and more. Each chapter concludes with a chapter summary, a section on using Stata, a section on using SPSS, and practice problems. Statistics for Social Understanding: With Stata and SPSS is accompanied by a learning package, written entirely by Tina Wildhagen, that is designed to enhance the experience of both instructors and students. Author-written ancillaries ensure that supplementary materials match the text in voice, language, and content. Nombre d'accès : 1 En ligne : http://library.ez.neoma-bs.fr/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=491019 L'analyse des données de sondage avec SPSS / PRESSES DE L'UNIVERSITÉ DU QUÉBEC (LES) (2018)PermalinkBusiness Statistics, Global Editio / David GROEBNER / PEARSON ED. (2018)PermalinkDreamweaver CC pour PC/Mac / Christophe AUBRY / ENI ED. (2018)PermalinkPermalinkPourquoi la société ne se laisse pas mettre en équations ? / Pablo JENSEN / SEUIL (EDITIONS DU) (2018)PermalinkA Step-By-Step Introduction to Statistics for Business / Richard N. LANDERS / SAGE PUBLICATIONS LTD (2018)PermalinkA Student's Guide to Bayesian Statistics / Ben LAMBERT / SAGE PUBLICATIONS LTD (2018)PermalinkAnalyse des données / Anis HAMROUNI / UNIV EUROPEENNE (2017)PermalinkModélisation prédictive et apprentissage statistique avec R / Stéphane TUFFERY / Technip (2017)PermalinkPermalink
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