A Field Theory of House Prices: An Empirical Study of the Helsinki Submarket

Suomen E-painos Oy
Free sample

This book presents the essential ideas of the field theory of house prices. This theory combines some fundamental concepts of classical physics and standard economics, providing a new, alternative way of thinking about house prices. In the field theory of house prices a new concept of analysis is defined: house prices by distance from the CBD (Central Business District). In traditional neoclassical economics, house prices are analysed directly without including the location element of a house. The field theory, however, takes location explicitly into account by analysing house prices divided by the distance from the CBD. The main ideas of the field theory are also applicable to the land markets and facilities markets, where location plays a significant role in the analysis of property prices.

The author is a Doctor of Science (Technology), whose research interest focuses on applied mathematics and economics.

 

Read more
Collapse
Loading...

Additional Information

Publisher
Suomen E-painos Oy
Read more
Collapse
Pages
74
Read more
Collapse
ISBN
9789526613369
Read more
Collapse
Read more
Collapse
Best For
Read more
Collapse
Language
English
Read more
Collapse
Genres
Business & Economics / Real Estate / General
Mathematics / General
Mathematics / Probability & Statistics / Regression Analysis
Read more
Collapse
Content Protection
This content is DRM protected.
Read more
Collapse

Reading information

Smartphones and Tablets

Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.

Laptops and Computers

You can read books purchased on Google Play using your computer's web browser.

eReaders and other devices

To read on e-ink devices like the Sony eReader or Barnes & Noble Nook, you'll need to download a file and transfer it to your device. Please follow the detailed Help center instructions to transfer the files to supported eReaders.
Praise for the Fourth Edition

"As with previous editions, the authors have produced a leading textbook on regression."
—Journal of the American Statistical Association

A comprehensive and up-to-date introduction to the fundamentals of regression analysis

Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in today’s cutting-edge scientific research. The authors blend both theory and application to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences.

Following a general introduction to regression modeling, including typical applications, a host of technical tools are outlined such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book then discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations. The Fifth Edition features numerous newly added topics, including:

A chapter on regression analysis of time series data that presents the Durbin-Watson test and other techniques for detecting autocorrelation as well as parameter estimation in time series regression models Regression models with random effects in addition to a discussion on subsampling and the importance of the mixed model Tests on individual regression coefficients and subsets of coefficients Examples of current uses of simple linear regression models and the use of multiple regression models for understanding patient satisfaction data.

In addition to Minitab, SAS, and S-PLUS, the authors have incorporated JMP and the freely available R software to illustrate the discussed techniques and procedures in this new edition. Numerous exercises have been added throughout, allowing readers to test their understanding of the material.

Introduction to Linear Regression Analysis, Fifth Edition is an excellent book for statistics and engineering courses on regression at the upper-undergraduate and graduate levels. The book also serves as a valuable, robust resource for professionals in the fields of engineering, life and biological sciences, and the social sciences.

©2019 GoogleSite Terms of ServicePrivacyDevelopersArtistsAbout Google|Location: United StatesLanguage: English (United States)
By purchasing this item, you are transacting with Google Payments and agreeing to the Google Payments Terms of Service and Privacy Notice.