Książka Modeling Real Estate Data Wolfgang A. Brunauer

Modeling Real Estate Data

Applications with Structured Additive Regression

Język: Niemiecki
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
258.21
The statistical analysis of real estate data has received increasingly more attention during the las...

Informacje o książce

Język
Niemiecki
Oprawa
Książka - Miękka
Data wydania
2011
strony
124
EAN
9783838126975
ISBN
3838126971
Enbook ID
06891509
Waga
191
Wymiary
152 x 229 x 7

Pełny opis

The statistical analysis of real estate data has received increasingly more attention during the last decade. Property owners, investors and banks are looking for cost-effective and reliable means to assess the value of single properties or even property portfolios. Additionally, building operating charges have turned out to be a major determinant of profitability of real estate investment, and the Europe-wide introduction of the energy certification for buildings in 2002 enhances the importance of accurate assessment of the energy efficiency of buildings even more. The main purpose of this thesis is to apply approaches that address nonlinearity and spatial or cluster-specific heterogeneity simultaneously on real estate price and cost data. A particularly broad and rich framework for semiparametric modeling is provided by structured additive regression (STAR) models. In STAR-models, continuous covariates are modeled as P(enalized)-splines. Furthermore, possibly correlated discrete random effects for spatial indexes, functions of two dimensional surfaces and (spatially) varying coefficient terms may also be estimated using this methodology.

Możesz być zainteresowany

Klienci, którzy kupili tę książkę, kupili również

76.38

Le Mac Y a pas plus simple

Paul Durand Degranges
73.82
92.87
324.78
65.48
68.33

Philothea

FRANCIS DE SALES
142.95

Sans faille

Valentin Musso
47.31

Living in Babylon

Neil Sorrells
65.28

Don Q's Love Story

Hesketh Prichard
123.41

Saint Francis

Robert West
54.48
214.22
104.06
72.45
214.22
214.22
427.08