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.
This is an e-book about a dynamic field theory of house prices, which simplifies the ideas in the author’s previous work, A Field Theory of House Prices (ISBN 978-952-6613-36-9). The text provides new, highly workable ideas based on the major ideas of classical physics combined with the major ideas of classical economics. This synthesis is known as a dynamic field theory of house prices. This is a novel theory that provides a unified, general framework for decision-making that can be applied to any macro-level question about house prices.
In order to understand the ideas of this e-book, it is assumed that the reader has a basic understanding of mathematics, which is the language of exact science.
The workability of the ideas presented in this e-book are demonstrated using some real, large data sets. These empirical results are documented in the presented material.
The local disposable income and the interest variable typically applied in Finland are the ”pushing forces” that generate the demand field. The supply side is the ”attracting force” that does not influence the house prices in the samples investigated, but is still a force that exists.
What is a house price? What are the demand field and supply field of housing? This book explains these issues.
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Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation.
Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the Third Edition features:The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics.