Proceedings of the 1983 Academy of Marketing Science (AMS) Annual Conference

Proceedings of the 1983 Academy of Marketing Science (AMS) Annual Conference

Author: John C. Rogers III

Publisher: Springer

Published: 2015-06-26

Total Pages: 665

ISBN-13: 3319169378

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This volume includes the full proceedings from the 1983 Academy of Marketing Science (AMS) Annual Conference held in Miami, Florida. It provides a variety of quality research in the fields of marketing theory and practice in areas such as consumer behaviour, marketing history marketing management, marketing education, industrial marketing and international marketing, among others. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complimenting the Academy’s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review. Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science.


Applied Choice Analysis

Applied Choice Analysis

Author: David A. Hensher

Publisher: Cambridge University Press

Published: 2005-06-02

Total Pages: 743

ISBN-13: 0521844266

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Almost without exception, everything human beings undertake involves a choice. In recent years there has been a growing interest in the development and application of quantitative statistical methods to study choices made by individuals with the purpose of gaining a better understanding both of how choices are made and of forecasting future choice responses. In this primer the authors provide an unintimidating introduction to the main techniques of choice analysis and include detail on themes such as data collection and preparation, model estimation and interpretation and the design of choice experiments. A companion website to the book provides practice data sets and software to estimate the main discrete choice models such as multinomial logit, nested logit and mixed logit. This primer will be an invaluable resource to students as well as of immense value to consultants and professionals, researchers and anyone else interested in choice analysis and modelling.


Proceedings of the 1986 Academy of Marketing Science (AMS) Annual Conference

Proceedings of the 1986 Academy of Marketing Science (AMS) Annual Conference

Author: Naresh K. Malhotra

Publisher: Springer

Published: 2014-11-18

Total Pages: 523

ISBN-13: 3319111019

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Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complimenting the Academy’s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review. Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science. This volume includes the full proceedings from the 1986 Academy of Marketing Science (AMS) Annual Conference held in Anaheim, California.


Multiple Correspondence Analysis and Related Methods

Multiple Correspondence Analysis and Related Methods

Author: Michael Greenacre

Publisher: CRC Press

Published: 2006-06-23

Total Pages: 607

ISBN-13: 1420011316

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As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical research. Until now, however, the literature on the su


Probability, Statistics, And Decision Making In The Atmospheric Sciences

Probability, Statistics, And Decision Making In The Atmospheric Sciences

Author: Allan Murphy

Publisher: CRC Press

Published: 2019-07-11

Total Pages: 560

ISBN-13: 1000236323

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Methodology drawn from the fields of probability. statistics and decision making plays an increasingly important role in the atmosphericsciences. both in basic and applied research and in experimental and operational studies. Applications of such methodology can be found in almost every facet of the discipline. from the most theoretical and global (e.g., atmospheric predictability. global climate modeling) to the most practical and local (e.g., crop-weather modeling forecast evaluation). Almost every issue of the multitude of journals published by the atmospheric sciences community now contain some or more papers involving applications of concepts and/or methodology from the fields of probability and statistics. Despite the increasingly pervasive nature of such applications. very few book length treatments of probabilistic and statistical topics of particular interest to atmospheric scientists have appeared (especially inEnglish) since the publication of the pioneering works of Brooks andCarruthers (Handbook of Statistical Methods in Meteorology) in 1953 and Panofsky and Brier-(some Applications of)statistics to Meteor) in 1958. As a result. many relatively recent developments in probability and statistics are not well known to atmospheric scientists and recent work in active areas of meteorological research involving significant applications of probabilistic and statistical methods are not familiar to the meteorological community as a whole.


Regression With Social Data

Regression With Social Data

Author: Alfred DeMaris

Publisher: John Wiley & Sons

Published: 2004-11-11

Total Pages: 560

ISBN-13: 0471677558

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An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Covering techniques that span the full spectrum of levels of measurement for both continuous and limited response variables, and using examples taken from such disciplines as sociology, psychology, political science, and public health, the author succeeds in demystifying an academically rigorous subject and making it accessible to a wider audience. Content includes coverage of: Logit, probit, scobit, truncated, and censored regressions Multiple regression with ANOVA and ANCOVA models Binary and multinomial response models Poisson, negative binomial, and other regression models for event-count data Survival analysis using multistate, multiepisode, and interval-censored survival models Concepts are reinforced throughout with numerous chapter problems, exercises, and real data sets. Step-by-step solutions plus an appendix of mathematical tutorials make even complex problems accessible to readers with only moderate math skills. The book’s logical flow, wide applicability, and uniquely comprehensive coverage make it both an ideal text for a variety of graduate course settings and a useful reference for practicing researchers in the field.