Download or read book Parameter Estimation in Marketing Models in the Presence of Outliers in Response Data written by Vijay Mahajan and published by . This book was released on 1983 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book JMR Journal of Marketing Research written by and published by . This book was released on 1997 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Quantitative Models in Marketing Research written by Philip Hans Franses and published by Cambridge University Press. This book was released on 2001-08-09 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in data collection and data storage techniques have enabled marketing researchers to study the individual characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics. This 2001 book presents important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained discussion, which includes: a demonstration of the mechanics of the model, empirical analysis, real world examples, and interpretation of results and findings. The reader of the book will learn how to apply the techniques, as well as understand the methodological developments in the academic literature. Pathways are offered in the book for students and practitioners with differing numerical skill levels; a basic knowledge of elementary numerical techniques is assumed.
Download or read book Statistical Noise or Valuable Information written by Clemens Pirker and published by Springer Science & Business Media. This book was released on 2009-11-07 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clemens Pirker addresses the frequent doubt among researchers on how to deal with extreme and outlying observations in data analysis. He draws on various scientific domains to explore possible handling alternatives and the relevance of the phenomenon. The dissertation concludes that authors may leverage their insights from given data by reporting those cases and their influence on the results.
Download or read book Market Research Abstracts written by and published by . This book was released on 1984-07 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Market Response Models written by Dominique M. Hanssens and published by Springer Science & Business Media. This book was released on 2005-12-19 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: From 1976 to the beginning of the millennium—covering the quarter-century life span of this book and its predecessor—something remarkable has happened to market response research: it has become practice. Academics who teach in professional fields, like we do, dream of such things. Imagine the satisfaction of knowing that your work has been incorporated into the decision-making routine of brand managers, that category management relies on techniques you developed, that marketing management believes in something you struggled to establish in their minds. It’s not just us that we are talking about. This pride must be shared by all of the researchers who pioneered the simple concept that the determinants of sales could be found if someone just looked for them. Of course, economists had always studied demand. But the project of extending demand analysis would fall to marketing researchers, now called marketing scientists for good reason, who saw that in reality the marketing mix was more than price; it was advertising, sales force effort, distribution, promotion, and every other decision variable that potentially affected sales. The bibliography of this book supports the notion that the academic research in marketing led the way. The journey was difficult, sometimes halting, but ultimately market response research advanced and then insinuated itself into the fabric of modern management.
Download or read book Market Response and Marketing Mix Models written by Douglas Bowman and published by Now Publishers Inc. This book was released on 2010 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market Response and Marketing Mix Models takes a forward-looking perspective identifying research opportunities related to market response and marketing mix models falling under four broad areas: - "New" or under-studied inputs and/or "richer" measures of inputs constructs. - Explicitly accounting for the process linking inputs to outputs - "New" or under-studied dependent variables - Under-studied or emerging contexts. Each section covers three broad areas related to marketing mix models - data issues and requirements, methodologies (i.e., traditional econometrics; Bayesian methods; structural models), and substantive findings. As quantitative information about markets and marketing actions has become widely available, modern marketing is presented with both a challenge and an opportunity: how to analyze this information accurately and efficiently, and how to use it to enhance marketing productivity. Market Response and Marketing Mix Models describes the tools needed for achieving these objectives.
Download or read book Parameter Estimation from Grouped Data with Applications to Meta analysis written by Yen-Hong Kuo and published by . This book was released on 2010 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Categorizing a continuous variable is easy for communication and statistical analysis in public health and medical research. However, categorization loses information, reduces statistical power, and biases the estimate of a dose-response association while reducing its efficiency. Further, it jeopardizes the validity and efficiency of a meta-analysis because of the single cutoff point and/or inconsistent cutoff points in the included studies. In order to appropriately summarize the estimates from each study in a meta-analysis with comparable categories or dose-response association, a new approach on re-estimating the underlying distribution of a categorized covariate by using the published information is the first step. This dissertation research proposes two types of approaches to estimate the underlying distribution. The first approach is linear model approach. When the underlying distribution follows a normal distribution, a linear model can be constructed by using the mean, standard deviation, and cutoff points with their cumulative probabilities in each study. The parameters can be estimated via the weighted mixed-effect linear regression model. When the underlying distribution follows a gamma distribution, a linear model is derived by applying a property of the incomplete gamma distribution. The parameters can be estimated by using a numerical iteration algorithm. The second approach is a goodness-of-fit approach. When the parameters of the underlying distribution cannot be linearized, based on the cutoff points and their cumulative probabilities in each study, the parameter estimates minimize the distance between the expected and observed values. We also applied this approach to estimate the parameters of a categorized zero-inflated distribution: the proportion of excess zero and the continuous variables. In addition, we discuss the impacts from categorization on the relative efficiency of estimating the parameters and the dose-response association, and the validity of the dose-response association by maximum likelihood approach via the multinomial distribution and simulation studies. In summary, the main contribution from this dissertation is that our approaches use published data to convert from the disadvantage of inconsistent cutoff points in many studies into useful information and to improve meta-analysis. We also generalize the approaches of evaluating the impacts from categorizing a continuous variable.
Download or read book Market Response Models written by Dominique M. Hanssens and published by Springer. This book was released on 2003-01-31 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: From 1976 to the beginning of the millennium—covering the quarter-century life span of this book and its predecessor—something remarkable has happened to market response research: it has become practice. Academics who teach in professional fields, like we do, dream of such things. Imagine the satisfaction of knowing that your work has been incorporated into the decision-making routine of brand managers, that category management relies on techniques you developed, that marketing management believes in something you struggled to establish in their minds. It’s not just us that we are talking about. This pride must be shared by all of the researchers who pioneered the simple concept that the determinants of sales could be found if someone just looked for them. Of course, economists had always studied demand. But the project of extending demand analysis would fall to marketing researchers, now called marketing scientists for good reason, who saw that in reality the marketing mix was more than price; it was advertising, sales force effort, distribution, promotion, and every other decision variable that potentially affected sales. The bibliography of this book supports the notion that the academic research in marketing led the way. The journey was difficult, sometimes halting, but ultimately market response research advanced and then insinuated itself into the fabric of modern management.
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Download or read book Parameter Estimation in the Presence of Incomplete Sets of Sufficient Statistics written by William Boyce Smith and published by . This book was released on 1967 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modern Methods for Robust Regression written by Robert Andersen and published by SAGE. This book was released on 2008 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering an in-depth treatment of robust and resistant regression, this volume takes an applied approach and offers readers empirical examples to illustrate key concepts.
Download or read book Robust Methods in Biostatistics written by Stephane Heritier and published by Wiley. This book was released on 2009-05-26 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers. Robust Methods in Biostatistics proposes robust alternatives to common methods used in statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. The methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following general classes of models: Linear regression Generalized linear models Linear mixed models Marginal longitudinal data models Cox survival analysis model The methods are introduced both at a theoretical and applied level within the framework of each general class of models, with a particular emphasis put on practical data analysis. This book is of particular use for research students,applied statisticians and practitioners in the health field interested in more stable statistical techniques. An accompanying website provides R code for computing all of the methods described, as well as for analyzing all the datasets used in the book.
Download or read book Beyond Multiple Linear Regression written by Paul Roback and published by CRC Press. This book was released on 2021-01-14 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies and exercises feature real data and real research questions; thus, most of the data in the textbook comes from collaborative research conducted by the authors and their students, or from student projects. Every chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using real data. After working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. A solutions manual for all exercises is available to qualified instructors at the book’s website at www.routledge.com, and data sets and Rmd files for all case studies and exercises are available at the authors’ GitHub repo (https://github.com/proback/BeyondMLR)
Download or read book JOPURNAL OF Econometrics written by and published by . This book was released on 1999 with total page 900 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Methods for Modeling Markets written by Peter S. H. Leeflang and published by Springer. This book was released on 2017-08-29 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents advanced techniques to modeling markets, with a wide spectrum of topics, including advanced individual demand models, time series analysis, state space models, spatial models, structural models, mediation, models that specify competition and diffusion models. It is intended as a follow-on and companion to Modeling Markets (2015), in which the authors presented the basics of modeling markets along the classical steps of the model building process: specification, data collection, estimation, validation and implementation. This volume builds on the concepts presented in Modeling Markets with an emphasis on advanced methods that are used to specify, estimate and validate marketing models, including structural equation models, partial least squares, mixture models, and hidden Markov models, as well as generalized methods of moments, Bayesian analysis, non/semi-parametric estimation and endogeneity issues. Specific attention is given to big data. The market environment is changing rapidly and constantly. Models that provide information about the sensitivity of market behavior to marketing activities such as advertising, pricing, promotions and distribution are now routinely used by managers for the identification of changes in marketing programs that can improve brand performance. In today’s environment of information overload, the challenge is to make sense of the data that is being provided globally, in real time, from thousands of sources. Although marketing models are now widely accepted, the quality of the marketing decisions is critically dependent upon the quality of the models on which those decisions are based. This volume provides an authoritative and comprehensive review, with each chapter including: · an introduction to the method/methodology · a numerical example/application in marketing · references to other marketing applications · suggestions about software. Featuring contributions from top authors in the field, this volume will explore current and future aspects of modeling markets, providing relevant and timely research and techniques to scientists, researchers, students, academics and practitioners in marketing, management and economics.
Download or read book Complex Systems in Finance and Econometrics written by Robert A. Meyers and published by Springer Science & Business Media. This book was released on 2010-11-03 with total page 919 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finance, Econometrics and System Dynamics presents an overview of the concepts and tools for analyzing complex systems in a wide range of fields. The text integrates complexity with deterministic equations and concepts from real world examples, and appeals to a broad audience.
