Statistical Models in Consumer Behavior

Kandukuri Kumaraswamy

ISBN 10: 6206152405 / ISBN 13: 9786206152408

Published by LAP LAMBERT Academic Publishing

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This book narrates the detailed review on stochastic behavior of repeated purchasers and made an attempt to compare expected number of repeated purchase consumers for the experimental data. A new compound distribution with Poisson and Weibull distributions for studying the consumer behavior is presented. It's parameters and properties are derived. It can be used for studying the consumer behavioral distribution for varying. Further, this book emphasizes on the brand performance indicators of the Dirichlet model are used to construct a more detailed statistical model for the transition probability matrix, and this model is used to investigate Markovian characteristics. The least square principle is used to estimate the transition model parameters. The stationary probabilities are derived for each state of the Markov chain and analysis is illustrated with an example and also a detailed outline construction of Hidden Markov model is exhibited to capture the relationships, and quantifying the the consumer dynamic attitudes. The transition probability matrices derived with considering the prime factors which influence the consumer behavior with the help of two brands case.

Seller Inventory # 9786206152408

Bibliographic Details

• Title: Statistical Models in Consumer Behavior
• Publisher: LAP LAMBERT Academic Publishing
• Language: English
• ISBN 10: 6206152405
• ISBN 13: 9786206152408
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 155 grams

About this title

Synopsis

This book narrates the detailed review on stochastic behavior of repeated purchasers and made an attempt to compare expected number of repeated purchase consumers for the experimental data. A new compound distribution with Poisson and Weibull distributions for studying the consumer behavior is presented. It's parameters and properties are derived. It can be used for studying the consumer behavioral distribution for varying. Further, this book emphasizes on the brand performance indicators of the Dirichlet model are used to construct a more detailed statistical model for the transition probability matrix, and this model is used to investigate Markovian characteristics. The least square principle is used to estimate the transition model parameters. The stationary probabilities are derived for each state of the Markov chain and analysis is illustrated with an example and also a detailed outline construction of Hidden Markov model is exhibited to capture the relationships, and quantifying the the consumer dynamic attitudes. The transition probability matrices derived with considering the prime factors which influence the consumer behavior with the help of two brands case.