Sale!

Applied Quantitative Analysis for Real Estate 1st Edition – PDF ebook

Applied Quantitative Analysis for Real Estate 1st Edition – PDF ebook Copyright: 2021, Edition: 1st, Author: Sotiris Tsolacos; Mark Andrew, Publisher: Routledge, ISBN: 9780203710876, Format: PDF

Original price was: $99.00.Current price is: $23.00.

Buy Applied Quantitative Analysis for Real Estate 1st Edition PDF ebook by author Sotiris Tsolacos; Mark Andrew – published by Routledge in 2021 and save up to 80%  compared to the print version of this textbook. With PDF version of this textbook, not only save you money, you can also highlight, add text, underline add post-it notes, bookmarks to pages, instantly search for the major terms or chapter titles, etc.
You can search our site for other versions of the Applied Quantitative Analysis for Real Estate 1st Edition PDF ebook. You can also search for others PDF ebooks from publisher Routledge, as well as from your favorite authors. We have thousands of online textbooks and course materials (mostly in PDF) that you can download immediately after purchase.
Note: e-textBooks do not come with access codes, CDs/DVDs, workbooks, and other supplemental items.
eBook Details:

Full title: Applied Quantitative Analysis for Real Estate 1st Edition
Edition: 1st
Copyright year: 2021
Publisher: Routledge
Author: Sotiris Tsolacos; Mark Andrew
ISBN: 9780203710876
Format: PDF

Description of Applied Quantitative Analysis for Real Estate 1st Edition:
To fully function in today’s global real estate industry, students and professionals increasingly need to understand how to implement essential and cutting-edge quantitative techniques. This book presents an easy-to-read guide to applying quantitative analysis in real estate aimed at non-cognate undergraduate and masters students, and meets the requirements of modern professional practice. Through case studies and examples illustrating applications using data sourced from dedicated real estate information providers and major firms in the industry, the book provides an introduction to the foundations underlying statistical data analysis, common data manipulations and understanding descriptive statistics, before gradually building up to more advanced quantitative analysis, modelling and forecasting of real estate markets. Our examples and case studies within the chapters have been specifically compiled for this book and explicitly designed to help the reader acquire a better understanding of the quantitative methods addressed in each chapter. Our objective is to equip readers with the skills needed to confidently carry out their own quantitative analysis and be able to interpret empirical results from academic work and practitioner studies in the field of real estate and in other asset classes. Both undergraduate and masters level students, as well as real estate analysts in the professions, will find this book to be essential reading.