Walter R. Paczkowski

Pricing Analytics (eBook, PDF)

Models and Advanced Quantitative Techniques for Product Pricing

• Format: PDF

Produktbeschreibung

The theme of this book is simple. The price, the number someone puts on a product to help consumers decide to buy that product, comes from data. Specifically, it comes from statistically modeling the data.

This book gives the reader the statistical modeling tools needed to get the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory conjointly provide the background and framework for the models. Therefore, this book emphasizes two interlocking components of modeling: economic theory and statistical principles.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 338
• Erscheinungstermin: 27. Juni 2018
• Englisch
• ISBN-13: 9781351713092
• Artikelnr.: 56841212

Autorenporträt

Walter R. Paczkowski, Ph.D., worked at AT&T, AT&T Bell Labs, and AT&T Labs. He founded Data Analytics Corp., a statistical consulting company, in 2001. Dr. Paczkowski is also a part- time lecturer of economics at Rutgers University. He published Market Data Analysis Using JMP in 2016.

Inhaltsangabe

List of Figures
List of Tables
1 Preface
I Background
1 Introduction
2 Elasticities - Background and Concept
3 Elasticities - Their Use in Pricing
II Stated Preference Models
4 Conjoint Analysis
5 Discrete Choice Models
6 MaxDiff Models
7 Other Stated Preference Methods
III Price Segmentation
8 Price Segmentation: Basic Models
9 Price Segmentation: Advanced Models
IV Big Data and Econometric Models
10 Working with Big Data
11 Big Data Pricing Models
12 Big Data and Nonlinear Prices
References