Peter J Danaher
Biographic Data
| ID | 8920064 |
|---|---|
| NAME | Peter J Danaher |
| GIVEN NAMES | Peter J |
| FAMILY NAME | Danaher |
| SIGNATURE | DANAHER P J |
| AFFILIATIONS | Monash University |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1992 |
| LATEST PUBLICATION YEAR | 2014 |
| H-INDEX | 1 |
From Amazon to Apple
In this study, we propose a multivariate stochastic model for Web site visit duration, page views, purchase incidence, and the sale amount for online retailers. The model is constructed by composition from carefully selected distributions and involves copula components. It allows for the strong nonlinear relationships between the sales and visit variables to be explored in detail, and can be used to construct sales predictions. The model is readi…
The Future of Ratings Measurement
The new media environment is changing the ways in which television services are delivered and accessed, putting increasing strains on the long-standing conventional audience tracking methodology. Not only are people watching television in different ways, through the proliferation of services via internet and pay TV, but new recording technology is also giving them the power to select what they watch and when they watch it, even bypassing the ad b…
Advanced Media Planning
A Markov-Chain Model for Multivariate Magazine-Exposure Distributions
A multivariate magazine-exposure model that generalizes Danaher's univariate model is developed. Let S i be the number of issues of magazine i a person reads (Si = 0, 1, ..., ki , i = 1, ..., m). My Markov-chain model considers both within- and between-magazine correlation with the result that S1,...., S m are conditionally independent given the reading outcome for the first issue of each magazine. I am ultimately interested in modeling S T = σ m…
The Future of Ratings Measurement
The new media environment is changing the ways in which television services are delivered and accessed, putting increasing strains on the long-standing conventional audience tracking methodology. Not only are people watching television in different ways, through the proliferation of services via internet and pay TV, but new recording technology is also giving them the power to select what they watch and when they watch it, even bypassing the ad b…
A Markov-Chain Model for Multivariate Magazine-Exposure Distributions
A multivariate magazine-exposure model that generalizes Danaher's univariate model is developed. Let S i be the number of issues of magazine i a person reads (Si = 0, 1, ..., ki , i = 1, ..., m). My Markov-chain model considers both within- and between-magazine correlation with the result that S1,...., S m are conditionally independent given the reading outcome for the first issue of each magazine. I am ultimately interested in modeling S T = σ m…
Advanced Media Planning
The Future of Ratings Measurement
The new media environment is changing the ways in which television services are delivered and accessed, putting increasing strains on the long-standing conventional audience tracking methodology. Not only are people watching television in different ways, through the proliferation of services via internet and pay TV, but new recording technology is also giving them the power to select what they watch and when they watch it, even bypassing the ad b…
From Amazon to Apple
In this study, we propose a multivariate stochastic model for Web site visit duration, page views, purchase incidence, and the sale amount for online retailers. The model is constructed by composition from carefully selected distributions and involves copula components. It allows for the strong nonlinear relationships between the sales and visit variables to be explored in detail, and can be used to construct sales predictions. The model is readi…
Computer Science (3 works) · Advertising (2 works) · Business (2 works) · Consumer Market Behavior and Pricing (2 works) · Marketing (2 works) · World Wide Web (2 works) · Advertising (1 work) · Advertising media planning (1 work) · Amazon rainforest (1 work) · Artificial Intelligence (1 work)