Bibliography: • Gerdeman‚ D. (2011‚ october 20). Getting the Marketing Mix Right. Retrieved December 5‚ 2011‚ from http://hbswk.hbs.edu/item/6828.html • Steenburgh‚ T. J. (2011‚ August 31). The Flexible Substitution Logit: Uncovering Category Expansion and Share Impacts of Marketing Instruments. Retrieved December 5‚ 2011‚ from http://www.hbs.edu/research/pdf/12-012.pdf • Steenburgh‚ T. J. (2004). The Invariant Proportion of Substitution (IPS) Property of Discrete-
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Regression with a Binary Dependent Variable Binary Dependent Variables and the Linear Probability Model • • • Many of the decisions made by people are binary. What factors drive a person’s decision? This question leads to regression with a binary dependent variable. The binary choice problem is an example of models with limited dependent variables (see Appendix 9.3 for details). Note that the multiple regression model discussed earlier does not preclude a dependent variable from being binary
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2.3.4 Customized Pricing Bid Response Model (CPBRM) Majority of the literature in the price-optimization area focuses on pricing of consumer goods or the optimal design of auctions but‚ a large percentage of firms face pricing decisions in a business-to-business setting where a customer requests bids from a small set of competing firms getting a quote for the product or service. When the total annual sales to the firm requesting the bid does not justify a dedicated sales person on behalf of the
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Document Classification for Newspaper Articles Dennis Ramdass & Shreyes Seshasai 6.863 Final Project Spring 2009 May 18‚ 2009 1 Introduction In many real-world scenarios‚ the ability to automatically classify documents into a fixed set of categories is highly desirable. Common scenarios include classifying a large amount of unclassified archival documents such as newspaper articles‚ legal records and academic papers. For example‚ newspaper articles can be classified as ’features’‚ ’sports’
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www.palgrave-journals.com/rpm PRACTICE PAPERS Decision support in online travel retailing B. Venkateshwara Raoà and Barry C. Smith Received (in revised form): 7th November‚ 2005 à Research Group‚ Sabre Holdings‚ 3150 Sabre Drive‚ MD 8203 HDQ‚ Southlake‚ TX 76092‚ USA Tel: þ 1 682 605 1721; Fax: þ 1 682 605 7690; E-mail: beju.rao@sabre.com B. Venkateshwara Rao is a Senior Principal in Research Group at Sabre Holdings. He develops customer behaviour‚ pricing‚ marketing‚ planning‚ and deal evaluation
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Archived Information I. INTRODUCTION MATHTECH‚ INC. Income inequality has been increasing for the past 20 years. A substantial part of the increase in income differences can be explained by changes in the return to education. In dollar terms‚ 1973 college graduates earned 45 percent more than high school graduates; by 1994 they earned 65 percent more‚ based on real average hourly wages for college and high school graduates (Baumol and Blinder‚ 1997). The increasing income disparities between
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Lecture 6: Function. Limits and continuity. Plan: 1) Concept of function. Basic properties of functions. 2) Elementary functions. Classification of functions. 1) Concept of function. Basic properties of functions. Definition 1. If to each element x of set X () is put in conformity the element y of set Y () speak‚ that on set X function is given. Where х is an independent variable (or argument)‚ y - a dependent variable‚ and the letter f designates the law of conformity. Set X is
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Chapter 2 Conjoint Analysis 2.1 Introduction This chapter gives an overview of conjoint analysis. First‚ section 2.2 briefly describes the general elements in conjoint analysis and several “classic” conjoint analysis approaches. Next‚ section 2.3 discusses the conjoint choice approach more extensively and a brief overview is given of recent conjoint choice applications in the (marketing) literature. 2.2 General Concepts and Classic Conjoint Analysis In marketing one wants to know which characteristics
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ACCOUNTING-BASED EARNINGS MANAGEMENT AND REAL ACTIVITIES MANIPULATION A Dissertation Presented to The Academic Faculty by Wei Yu In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the School of Management Georgia Institute of Technology August 2008 Copyright 2008 by Wei Yu 3327682 Copyright 2008 by Yu‚ Wei All rights reserved 2008 3327682 ACCONTING-BASED EARNINGS MANAGEMENT AND REAL ACTIVITIES MANIPULATION Approved by: Dr
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Contabilidad de Gestión Balduino de bicicletas Robin L. M. Cheung Estudiante # 0024338 Profesor D. Armishaw Lunes‚ 11 de febrero 2002 A621 Contabilidad de Gestión La Universidad de McMaster http://RobinCheung.Ca Baldwin empresa de bicicletas Robin L. M. Cheung 140 Robinson St.‚ Suite 305 Hamilton ON 4R6 L8P (905) 522-0621 cheunr@mcmaster.ca Suzanne Leister Baldwin empresa de bicicletas 225 Byers carretera Miamisburg‚ OH 45342 10 de febrero 2002 Estimada Sra
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