9781439564714-143956471X-Into Thin Air: A Personal Account of the Mt. Everest Disaster

Into Thin Air: A Personal Account of the Mt. Everest Disaster

ISBN-13: 9781439564714
ISBN-10: 143956471X
Edition: Reprint
Author:
Publication date: 2016
Publisher:
Format: Library Binding 416 pages
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Book details

ISBN-13: 9781439564714
ISBN-10: 143956471X
Edition: Reprint
Author:
Publication date: 2016
Publisher:
Format: Library Binding 416 pages

Summary

Into Thin Air: A Personal Account of the Mt. Everest Disaster (ISBN-13: 9781439564714 and ISBN-10: 143956471X), written by authors in 2016. With an overall rating of 4.1 stars, it's a notable title among other books. You can easily purchase or rent Into Thin Air: A Personal Account of the Mt. Everest Disaster (Library Binding) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.52.

Description

This econometric study covers the latent demand outlook for emission control catalysts across the states and cities of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 12,900 cities in the United States. For each city in question, the percent share the city is of it's state and of the United States is reported. These comparative benchmarks allow the reader to quickly gauge a city vis-a-vis others. This statistical approach can prove very useful to distribution and/or sales force strategies. Using econometric models which project fundamental economic dynamics within each state and city, latent demand estimates are created for emission control catalysts. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved.This study does not report actual sales data (which are simply unavailable, in a comparable or consistent manner in virtually all of the cities in the United States). This study gives, however, my estimates for the latent demand, or the P.I.E., for emission control catalysts in the United States. It also shows how the P.I.E. is divided and concentrated across the cities and regional markets of the United States. For each state, I also show my estimates of how the P.I.E. grows over time. In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on strategic planning at graduate schools of business. This econometric study covers the latent demand outlook for emission control catalysts across the states and cities of the United States. Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 12,900 cities in the United States. For each city in question, the percent share the city is of it's state and of the United States is reported. These comparative benchmarks allow the reader to quickly gauge a city vis-a-vis others. This statistical approach can prove very useful to distribution and/or sales force strategies. Using econometric models which project fundamental economic dynamics within each state and city, latent demand estimates are created for emission control catalysts. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved.This study does not report actual sales data (which are simply unavailable, in a comparable or consistent manner in virtually all of the cities in the United States). This study gives, however, my estimates for the latent demand, or the P.I.E., for emission control catalysts in the United States. It also shows how the P.I.E. is divided and concentrated across the cities and regional markets of the United States. For each state, I also show my estimates of how the P.I.E. grows over time. In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on strategic planning at graduate schools of business.

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