Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling

* Read * Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling by Kimberly Winson-Geideman, Andy Krause, Clifford A. Lipscomb, Nick Evangelopoulos ↠ eBook or Kindle ePUB. Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling This ‘Big Data’ phenomenon is the result of recent developments in computational technology and improved data gathering techniques that have led to substantial innovation in the collection, storage, management, and analysis of data. The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. The running theme is the construction of efficient, transparent, and reproducible research through the sy

Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling

Author :
Rating : 4.61 (605 Votes)
Asin : 1138232904
Format Type : paperback
Number of Pages : 252 Pages
Publish Date : 2017-04-11
Language : English

DESCRIPTION:

Lipscomb is the Director of Economic Research at Greenfield Advisors, USANick Evangelopoulos is Associate Professor, Department of Information Technology and Decision Sciences, University of North Texas, USA. About the AuthorKimberley Winson-Geideman is Senior Lecturer in Property at the University of Melbourne, AustraliaAndy Krause is a Lecturer in the Department of Property at the University of Melbourne, AustraliaClifford A

Lipscomb
is the Director of Economic Research at Greenfield Advisors, USANick Evangelopoulos is Associate Professor, Department of Information Technology and Decision Sciences, University of North Texas, USA. Kimberley Winson-Geideman is Senior Lecturer in Property at the University of Melbourne, Australia
This ‘Big Data’ phenomenon is the result of recent developments in computational technology and improved data gathering techniques that have led to substantial innovation in the collection, storage, management, and analysis of data. The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. The running theme is the construction of efficient, transparent, and reproducible research through the systematic organization and application of data, both traditional and 'big'. The fina

OTHER BOOK COLLECTION