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Books on the topic 'Consumer behavior modeling'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Liu, Chuanlan. Modeling consumer adoption of the Internet as a shopping medium: An integrated perspective. Cambria Press, 2007.

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2

DeSarbo, Wayne. CRISP: Customer Response-based Iterative Segmentation Procedures for response modeling in direct marketing. Marketing Science Institute, 1994.

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3

DeSarbo, Wayne. CRISP: Customer Response-based Iterative Segmentation Procedures for response modeling in direct marketing. Marketing Science Institute, 1994.

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4

Finlay, Steven. Credit scoring, response modeling, and insurance rating: A practical guide to forecasting consumer behavior. 2nd ed. Palgrave Macmillan, 2012.

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5

Tim, Lang, ed. The unmanageable consumer: Contemporary consumption and its fragmentation. Sage, 1995.

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6

Gabriel, Yiannis. The unmanageable consumer: Contemporary consumption and its fragmentation. Sage, 1995.

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7

Finlay, Steven. Credit scoring, response modelling and insurance rating: A practical guide to forecasting consumer behaviour. Palgrave Macmillan, 2010.

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8

Finlay, Steven. Credit scoring, response modelling and insurance rating: A practical guide to forecasting consumer behaviour. Palgrave Macmillan, 2010.

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9

EMAC/ESOMAR Symposium on Micro and Macro Market Modelling (1987 Tutzing). Micro and macro market modelling: Research on prices, consumer behaviour and forecasting, Tutzing, 26-28th October, 1987. European Society for Opinion and Marketing Research, 1987.

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10

Mizuno, Makoto. Complex Modeling of Consumer Behavior: Agent-Based Marketing Science. Springer, 2021.

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11

Wang, Yi, Qixin Chen, and Chongqing Kang. Smart Meter Data Analytics: Electricity Consumer Behavior Modeling, Aggregation, and Forecasting. Springer, 2020.

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12

Modeling Consumer Adoption of the Internet as a Shopping Medium: An Integrated Perspective. Cambria Press, 2007.

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13

Mediation Analysis (Quantitative Applications in the Social Sciences). Sage Publications, Inc, 2008.

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14

Chambers, Robert G. Competitive Agents in Certain and Uncertain Markets. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190063016.001.0001.

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This book uses concepts from optimization theory to develop an integrated analytic framework for treating consumer, producer, and market equilibrium analyses as special cases of a generic optimization problem. The same framework applies to both stochastic and non-stochastic decision settings, so that the latter is recognized as an (important) special case of the former. The analytic techniques are borrowed from convex analysis and variational analysis. Special emphasis is given to generalized notions of differentiability, conjugacy theory, and Fenchel's Duality Theorem. The book shows how virtually identical conjugate analyses form the basis for modeling economic behavior in each of the areas studied. The basic analytic concepts are borrowed from convex analysis. Special emphasis is given to generalized notions of differentiability, conjugacy theory, and Fenchel's Duality Theorem. It is demonstrated how virtually identical conjugate analyses form the basis for modelling economic behaviour in each of the areas studied.

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15

Busemeyer, Jerome R., Zheng Wang, James T. Townsend, and Ami Eidels, eds. The Oxford Handbook of Computational and Mathematical Psychology. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.001.0001.

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A comprehensive and authoritative review on most important developments in computational and mathematical psychology that have impacted many other fields in past decades. Written in tutorial style by leading scientists in each topic area, with an emphasis on examples and applications. Each chapter is self-contained and aims to engage readers with various levels of modeling experience. The Handbook covers the key developments in elementary cognitive mechanisms (e.g., signal detection, information processing, reinforcement learning), basic cognitive skills (e.g., perceptual judgment, categorization, episodic memory), higher-level cognition (e.g., Bayesian cognition, decision making, semantic memory, shape perception), modeling tools (e.g., Bayesian estimation and other new model comparison methods), and emerging new directions (e.g., neurocognitive modeling, applications to clinical psychology, quantum cognition) in computation and mathematical psychology. The chapters were written for a typical graduate student in virtually any area of psychology, cognitive science, and related social and behavioral sciences, such as consumer behavior and communication. We also expect it to be useful for readers ranging from advanced undergraduate students to experienced faculty members and researchers. Beyond being a handy reference book, it should be beneficial as a textbook for self-teaching, and for graduate level (or advanced undergraduate level) courses in computational and mathematical psychology.

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16

1940-, De Fontenay Alain, Shugard Mary Helen 1948-, Sibley David S. 1947-, and Bell Communications Research Inc, eds. Telecommunications demand modelling: An integrated view. North-Holland, 1990.

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17

Finlay, S. Credit Scoring, Response Modelling and Insurance Rating: A Practical Guide to Forecasting Consumer Behaviour. Palgrave Macmillan, 2010.

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18

1937-, Golledge Reginald G., and Timmermans H. J. P, eds. Behavioural modelling in geography and planning. Croom Helm, 1988.

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19

Fontenay, Alain De, and Mary H. Shugard. Telecommunications Demand Modelling: An Integrated View (Contributions to Economic Analysis). North-Holland, 1990.

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