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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. 

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I am a one-book publisher. About two years ago, when I first began to think about writing and publishing, I read this book. I should tell you that I am extremely thrifty and I only buy books that I will refer to again and again. I'll even admit that I first read the library's copy of this book. However, after I read 1001 Ways to Market Your Books, I immediately placed an order so that I could have a copy of my own. It has been worth its weight in gold to me. It's the best marketing tool for books that I know of, with clear explanations and lots of examples. If you are an author or a publisher, or even thinking about becoming one, I strongly suggest that you get this book. I can't think of a better $20 investment in your book-selling future. Lisa Reid, author and publisher of Raising Kids With Just a Little Cas

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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 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. 

Engaging and thorough, MARKETING, 12th Edition shows you how marketing principles affect your day-to-day life, as well as their significant influence in business decisions. Core topics include the social marketing phenomenon, entrepreneurship, C.R.M., global perspectives, and ethics, as well as in-depth discussions on key tools of the trade, such as metrics and the marketing plan. Intriguing coverage of newsworthy events clarifies the readings and gets you thinking about your own decisions in the consumer marketplace. Loaded with helpful learning features like detailed appendices, cases, vignettes, boxed features, and videos, MARKETING, 12th Edition gives you countless opportunities to develop and apply critical-thinking skills as you acquire the marketing knowledge essential for success in the business world.

Phillip R. CateoraProfessor Emeritus, The University of Colorado at Boulder. Received his Ph.D. from the University of Texas at Austin where he was elected to Beta Gamma Sigma. In his academic career at the University of Colorado he has served as Division Head of Marketing, Coordinator of International Business Programs, Associate Dean, and Interim Dean. His teaching has spanned a range of courses in marketing and international business, from fundamentals through the doctoral level. He received the University of Colorado Teaching Excellence Award and the Western Marketing Educator’s Association’s Educator of the Year Award.Professor Cateora has conducted faculty workshops on internationalizing principles of marketing courses for the AACSB and participated in designing and offering similar faculty workshops under a grant by the Department of Education. In conjunction with these efforts, he co-authored Marketing: An International Perspective, a supplement to accompany principles of marketing texts. Professor Cateora has served as consultant to small export companies as well as multinational companies, served on the Rocky Mountain Export Council, and taught in management development programs. He is a Fellow of the Academy of International Business.

Phillip R. CateoraProfessor Emeritus, The University of Colorado at Boulder. Received his Ph.D. from the University of Texas at Austin where he was elected to Beta Gamma Sigma. In his academic career at the University of Colorado he has served as Division Head of Marketing, Coordinator of International Business Programs, Associate Dean, and Interim Dean. His teaching has spanned a range of courses in marketing and international business, from fundamentals through the doctoral level. He received the University of Colorado Teaching Excellence Award and the Western Marketing Educator’s Association’s Educator of the Year Award.Professor Cateora has conducted faculty workshops on internationalizing principles of marketing courses for the AACSB and participated in designing and offering similar faculty workshops under a grant by the Department of Education. In conjunction with these efforts, he co-authored Marketing: An International Perspective, a supplement to accompany principles of marketing texts. Professor Cateora has served as consultant to small export companies as well as multinational companies, served on the Rocky Mountain Export Council, and taught in management development programs. He is a Fellow of the Academy of International Business.

The goal of this cutting edge book is to reposition social marketing so that foundations, government agencies, and various nonprofits will approach social change in a way that reaches both upstream and downstream individuals in society. Author Alan R. Andreasen outlines potential roles, restates fundamental principles, and then suggests how social marketing might be applied to a sample of nontraditional challenges.

Successful social marketing holds the power to change the world.  For almost two decades, Social Marketing: Behavior Change for Social Good has been the definitive guide for designing and implementing memorable social marketing campaigns. Bestselling authors Nancy R. Lee and Philip Kotler present a proven 10 Step Strategic Social Marketing Planning Model and guides students and practitioners through each stage of the process. The new Sixth Edition is packed with more than 25 new cases and dozens of new examples related to today′s most pressing social problems including the opioid epidemic, climate change, youth suicide, and more. The new edition also includes significantly expanded coverage of social media. Whether you are on a mission to improve public health, protect the environment, or galvanize their community, you will find Social Marketing an invaluable resource.

Successful social marketing holds the power to change the world.  For almost two decades, Social Marketing: Behavior Change for Social Good has been the definitive guide for designing and implementing memorable social marketing campaigns. Bestselling authors Nancy R. Lee and Philip Kotler present a proven 10 Step Strategic Social Marketing Planning Model and guides students and practitioners through each stage of the process. The new Sixth Edition is packed with more than 25 new cases and dozens of new examples related to today′s most pressing social problems including the opioid epidemic, climate change, youth suicide, and more. The new edition also includes significantly expanded coverage of social media. Whether you are on a mission to improve public health, protect the environment, or galvanize their community, you will find Social Marketing an invaluable resource.

Placeholder Marketing copy. Will be updated prior to online listing. Oregon Tool Products.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009).

Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009).

This is a collectors' item for rock music enthusiasts. Author Joe Carducci, record producer and former A&R executive, seeks to distinguish rock music from pop music. He regards rock as an "artistic form" and pop music as, if anything, a marketing concept. In 1994, Carducci revised the 1st edition and it was republished by Henry Rollins' 2.13.61 press. During the rest of the 1990s the book gradually acquired cult status.

Paperback. This updated third edition introduces readers to the business of film at every stage of the filmmaking lifecycle, from planning and production to financing, marketing, and distribution. Celebrated authors Stephen R. Greenwald and Paula Landry offer a practical, hands-on guide to the business aspects of this evolving industry, exploring streaming, development, financing trends, regional/global/online distribution, shifting business models, exhibition, multi-platform delivery, marketing, VR/AR, virtual production, accounting, and more. The book is illustrated throughout with sample financing scenarios and charts/graphics, and includes detailed case studies from projects of different budgets and markets. This new and expanded edition has been updated to reflect the new challenges facing the industry due to Covid-19 and how to navigate the new landscape of film financing and distribution. Other updates include coverage of new indie films and distributors, virtual production, the recent impact of global markets including the biggest streamers like Netflix, Apple and Amazon are how they are shaping the future of the business. This is essential reading for students looking for foundational knowledge of the film industry and guidance on how to successfully adapt to constant changes in the entertainment business.Extensive online support material accompanies the book including downloadable forms and templates, PowerPoint slides, quizzes and test banks, and other additional resources. This updated third edition introduces readers to the business of film at every stage of the filmmaking lifecycle. A practical, hands-on guide exploring streaming, development, financing trends, regional/global/online distribution, shifting business models, exhibition, multi-platform delivery, marketing, VR/AR, accounting, and more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Today, corporations are expected to give something back to their communities in the form of charitable projects. In Corporate Social Responsibility, Philip Kotler, one of the world's foremost voices on business and marketing, and coauthor Nancy Lee explain why charity is both good P.R. and good for business. They show business leaders how to choose social causes, design charity initiatives, gain employee support, and evaluate their efforts. They also provide all the best practices and cutting-edge ideas that leaders need to maximize their contributions to social causes and do the most good. With personal stories from twenty-five business leaders from socially responsible companies, this is the bible for today's good corporate citizen.