Advances in Discriminating Among Stochastic Models of Consumer Brand Choice Behavior PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Advances in Discriminating Among Stochastic Models of Consumer Brand Choice Behavior PDF full book. Access full book title Advances in Discriminating Among Stochastic Models of Consumer Brand Choice Behavior by R. Dale Wilson. Download full books in PDF and EPUB format.
Author: R. Dale Wilson
Publisher:
ISBN:
Category :
Languages : en
Pages : 38
Get Book Here
Book Description
Author: R. Dale Wilson
Publisher:
ISBN:
Category :
Languages : en
Pages : 38
Get Book Here
Book Description
Author: William F. Massy
Publisher: MIT Press (MA)
ISBN:
Category : Business & Economics
Languages : en
Pages : 488
Get Book Here
Book Description
Approaches to stochastic modeling; Estimating and testing stochastic models; Brand-choice models; Zero-order models; Two state markov models; Linear learning models for brand choice; A probability diffusion model; Application of the probability diffusion model; Purchase incidence models; Models for purchase timing and market penetration; A stochastic model for monitoring new product adoption; Parameter estimations and some emperical results for STEAM; Extension to STEAM.
Author: Gordon R. Foxall
Publisher: Taylor & Francis
ISBN: 9780415196437
Category : Business & Economics
Languages : en
Pages : 416
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Consumer behavior
Languages : en
Pages : 560
Get Book Here
Book Description
Author: J.K. Sengupta
Publisher: Springer Science & Business Media
ISBN: 3642701639
Category : Business & Economics
Languages : en
Pages : 295
Get Book Here
Book Description
Understanding the stochastic enviornment is as much important to the manager as to the economist. From production and marketing to financial management, a manager has to assess various costs imposed by uncertainty. The economist analyzes the role of incomplete and too often imperfect information structures on the optimal decisions made by a firm. The need for understanding the role of uncertainty in quantitative decision models, both in economics and management science provide the basic motivation of this monograph. The stochastic environment is analyzed here in terms of the following specific models of optimization: linear and quadratic models, linear programming, control theory and dynamic programming. Uncertainty is introduced here through the para meters, the constraints, and the objective function and its impact evaluated. Specifically recent developments in applied research are emphasized, so that they can help the decision-maker arrive at a solution which has some desirable charac teristics like robustness, stability and cautiousness. Mathematical treatment is kept at a fairly elementary level and applied as pects are emphasized much more than theory. Moreover, an attempt is made to in corporate the economic theory of uncertainty into the stochastic theory of opera tions research. Methods of optimal decision rules illustrated he re are applicable in three broad areas: (a) applied economic models in resource allocation and economic planning, (b) operations research models involving portfolio analysis and stochastic linear programming and (c) systems science models in stochastic control and adaptive behavior.
Author: R. Dale Wilson
Publisher:
ISBN:
Category : Brand choice
Languages : en
Pages : 32
Get Book Here
Book Description
Author: Robert Dale Wilson
Publisher:
ISBN:
Category : Consumers
Languages : en
Pages : 181
Get Book Here
Book Description
Author: Angelika Eymann
Publisher: Springer Science & Business Media
ISBN: 364250325X
Category : Business & Economics
Languages : en
Pages : 198
Get Book Here
Book Description
Migration, commuting, and tourism are prominent phenomena demonstrating the political and economic relevance of the spatial choice behavior of households. The identification of the determinants and effects of the households' location choice is necessary for both entrepreneurial and policy planners who attempt to predict (or regulate) the future demand for location-specific commodities, such as infrastructure, land, or housing, and the supply of labor. Microeconomic studies of the spatial behavior of individuals have typically focused upon the demand for a single, homogeneous, yet location-specific com 2 modity (such as land! or housing ) or their supply of labor3 and investigated the formation of location-specific prices and wages in the presence of transportation and migration costs or analyzed the individual-and location-specific character istics triggering spatial rather than quantitative or temporal adjustments. In contrast to many theoretical analyses, empirical studies of the causes or con sequences of individual demand for location-specific commodities have often considered several "brands" of a heterogeneous good that are offered at various locations, are perfect substitutes, and may be produced by varying production 4 technologies. lCf. Alonso (1964) 2Cf. Muth (1969). 3Cf. Sjaastad (1962) and Greenwood (1975).
Author: Valarie A. Zeithaml
Publisher: Marketing Classics Press
ISBN: 161311270X
Category : Business & Economics
Languages : en
Pages : 553
Get Book Here
Book Description
Author: Kenneth Train
Publisher: Cambridge University Press
ISBN: 0521766559
Category : Business & Economics
Languages : en
Pages : 399
Get Book Here
Book Description
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
