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"^PDF^ Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing books

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.The economic theory component is sufficient to provide understanding of basic principles for pricing, especially about elasticities which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of the 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.
"

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^PDF^ Pricing Analytics: Models and Advanced

  1. 1. DOWNLOAD ON THE LAST PAGE !!!! ^PDF^ Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing books 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.The economic theory component is sufficient to provide understanding of basic principles for pricing, especially about elasticities which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of the 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. ^PDF^ Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing File
  2. 2. PDF|EPUB|EBOOK|DOC DOWNLOAD ON THE LAST PAGE !!!! [Book] ^PDF^ Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing File
  3. 3. Read and download ^PDF^ Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing File in PDF, EPub, Mobi, Kindle online. Free book ^PDF^ Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing File, Get book ^PDF^ Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing File, Full supports all version of your device, includes PDF, ePub and Kindle version, All books format are mobile-friendly. Read and download online as many books as you like for personal use. DOWNLOAD ON THE LAST PAGE !!!! 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, 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.The economic theory component is sufficient to provide understanding of basic principles for pricing, especially about elasticities which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of the 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.
  4. 4. Step By STep To Download Or Read Online Click Button "DOWNLOAD" Or "READ ONLINE" 1. Sign up To Access ^PDF^ Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing File 2. Choose the book you like when register 3. You can also cancle your membership if you are bored 4. Enjoy and Happy Reading 5.

"^PDF^ Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing books 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.The economic theory component is sufficient to provide understanding of basic principles for pricing, especially about elasticities which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of the 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. "

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