Applied Quantitative Analysis for Real Estate
By Sotiris Tsolacos and Mark Andrew
"Applied Quantitative Analysis for Real Estate" is published by Taylor & Francis Group in 2020, the book is classified in Business & Economics genre, it has 624 pages and the language of the book is English.
“Applied Quantitative Analysis for Real Estate” Metadata:
- Title: ➤ Applied Quantitative Analysis for Real Estate
- Authors: Sotiris TsolacosMark Andrew
- Language: English
- Number of Pages: 624
- Is Family Friendly: Yes - No Mature Content
- Publisher: Taylor & Francis Group
- Publish Date: 2020
- Genres: Business & Economics
“Applied Quantitative Analysis for Real Estate” Subjects and Themes:
- Subjects: ➤ Business enterprises, valuation - Finance - Real estate investment - Portfolio management - Real estate business - Mortgages - Business mathematics - Statistical methods - Real property - Analytical chemistry - Quantitative - Immeubles - Investissements - Méthodes statistiques - Biens réels - Analyse quantitative (Chimie) - BUSINESS & ECONOMICS - Accounting - Financial
Edition Identifiers:
- Google Books ID: CPn2DwAAQBAJ
- The Open Library ID: OL28044515M - OL20735541W
- Online Computer Library Center (OCLC) ID: 1151508761
- Library of Congress Control Number (LCCN): 2020013924
- ISBN-13: 9781138561335 - 9781351359016
- ISBN-10: 1351359010
- All ISBNs: 9781138561335 - 9781351359016 - 1351359010
AI-generated Review of “Applied Quantitative Analysis for Real Estate”:
Snippets and Summary:
... <b>LCCN 2020013924</b> ( ebook ) | ISBN 9781138561328 ( hbk ) | ISBN 9781138561335 ( pbk ) | ISBN 9780203710876 ( ebk ) | ISBN 9781351359016 ( adobe pdf ) | ISBN 9781351358996 ( mobi ) | ISBN 9781351359009 ( epub ) Subjects : LCSH : Real ...
"Applied Quantitative Analysis for Real Estate" Description:
Google Books:
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.
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is not avialbe, image copy is available.
- Google Books Link: Google Books
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