$PDF✔ Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing READ ^FREE
Visit Link : https://mullomasmullo.blogspot.com/?epic=1138623938 Book Synopsis : 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, itcomes 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. The economic theory component is sufficient to provide understanding of the basic principles for pricing, especially about elasticities, which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of statistical modeling, so attention is paid to the concept and implications of elasticities. The statistical modeling component is advanced and detailed covering choice (conjoint, discrete choice, MaxDiff) and sales data modeling. Experimental design principles, model estimation approaches, and analysis methods are discussed and developed for choice models. Regression fundamentals have been developed for sales model specification and estimation and expanded for latent class analysis. Product details Publisher †: ‎ Routledge; 1st edition (June 26, 2018) Language
Visit Link : https://mullomasmullo.blogspot.com/?epic=1138623938
Book Synopsis :
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, itcomes 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.
The economic theory component is sufficient to provide understanding of the basic principles for pricing, especially about elasticities, which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of statistical modeling, so attention is paid to the concept and implications of elasticities.
The statistical modeling component is advanced and detailed covering choice (conjoint, discrete choice, MaxDiff) and sales data modeling. Experimental design principles, model estimation approaches, and analysis methods are discussed and developed for choice models. Regression fundamentals have been developed for sales model specification and estimation and expanded for latent class analysis.
Product details
Publisher †: ‎ Routledge; 1st edition (June 26, 2018)
Language
- No tags were found...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
--------------------------------------------------------
Pricing Analytics: Models and Advanced
Quantitative Techniques for Product Pricing by
Walter R. Paczkowski
COPY LINK IN DESCRIPTION TO
DOWNLOAD THIS BOOK
Product details
Publisher : Routledge; 1st edition (June 26, 2018)
Language : English
Paperback : 318 pages
ISBN-10 : 1138623938
ISBN-13 : 978-1138623934
Item Weight : 1.09 pounds
Dimensions : 6.14 x 0.77 x 9.21 inches
Best Sellers Rank: #444,264 in Books (See Top 100 in Books)
#39 in International Accounting (Books)
#71 in Industrial Marketing (Books)
#80 in International Business (Books)
Customer Reviews:
4.4 out of 5 stars 11 ratings
Description :
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, itcomes 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. The
economic theory component is sufficient to provide understanding of the
basic principles for pricing, especially about elasticities, which measure the
effects of pricing on key business metrics. Elasticity estimation is the goal of
statistical modeling, so attention is paid to the concept and implications of
elasticities. The statistical modeling component is advanced and detailed
covering choice (conjoint, discrete choice, MaxDiff) and sales data
modeling. Experimental design principles, model estimation approaches, and
analysis methods are discussed and developed for choice models. Regression
fundamentals have been developed for sales model specification and
estimation and expanded for latent class analysis.
COPY LINK IN DESCRIPTION TO DOWNLOAD THIS BOOK
![[❤D.o.n.w.l.o.a.d❤ $PDF] A Guide to Forensic Accounting Investigation READ ^FREE](https://documents.yumpu.com/000/066/410/813/2bd0f5e3297007ff6df38ecaf0c288ae2d54b2a9/416e4d4271616533516654755a507650557839384a513d3d/723131516e576d2b76765035546b32777875515733413d3d.jpg?AWSAccessKeyId=AKIAICNEWSPSEKTJ5M3Q&Expires=1719072000&Signature=wNSRpD6y2sYouY1WqlvEoIkXglk%3D)
Change language