Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

3. Deterministic Models

verfasst von : Ana Silva, Jorge de Brito, Pedro Lima Gaspar

Erschienen in: Methodologies for Service Life Prediction of Buildings

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This chapter presents the formulation and application of deterministic models for service life prediction of buildings and their components. These models are based on regression analysis, either simple or multiple, linear or non linear. Deterministic models are mathematical and/or statistical formulations that allow describing the relationship between the degradation factors and the façade’s condition. All regression techniques are based on the same assumptions, i.e. all methods intend to obtain the function that best fits a set of random data. Simple regression analysis allows obtaining the estimated service life of the façade claddings based on the evolution of the degradation of the overall sample over time. Multiple regression analysis (linear or nonlinear) allows estimating the estimated service life of façade claddings using an equation that includes all the variables that influence their degradation process.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Service Life and Durability of Assemblies
Nächstes Kapitel Stochastic Models
Literatur
Abdi H (2010) Least squares. Encyclopaedia of research design, Neil Salkind edition. Sage Publications, Thousand Oaks, 7p
Adalberth K (1997) Energy use during the life cycle of buildings: a method. Build Environ 32(4):317–320CrossRef
Aguirre-Basurko E, Ibarra-Berastegi G, Madariaga I (2006) Regression and multilayer perceptron-based models to forecast hourly O3 and NO2 levels in the Bilbao area. Environ Model Softw 21(4):430–446CrossRef
Aiken LS, West SG (1991) Multiple regression: testing and interpreting interactions, 1st edn. Sage Publications, Newbury Park
Altman DG (1991) Statistics in medical journals: development in the 1980s. Stat Med 10(12):1897–1913CrossRef
Atkinson AC (1985) Plots, transformations and regression: an introduction to graphical methods of diagnostic regression analysis. Oxford statistical science series. Oxford University Press, OxfordMATH
Azizi A, Amir Yazid BA, Ping LW, Mohammadzadeh M (2012) A hybrid model of ARIMA and multiple polynomial regression for uncertainties modeling of a serial production line. International Conference on Engineering and Technology Management (ICETM), Kuala Lumpur, Malaysia, 62, 63–68. P-ISSN 2010-376X and E-ISSN 2010-3778
Barnett V, Lewis T (1994) Outliers in statistical data, 3rd edn. Wiley, New YorkMATH
Baron RM, Kenny DA (1986) The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51(6):1173–1182CrossRef
Barrett BE, Gray JB (1992) Efficient computation of subset influence in regression. J Comput Graph Stat 1(4):271–286MathSciNet
Bayhan GM, Bayhan M (1998) Forecasting using autocorrelated errors and multicollinear predictor variables. Comput Ind Eng 34(2):413–421CrossRef
BCIS Life expectancy of buildings components (2001) Surveyor’s experiences of building in use—a practical guide. Building Cost Information Service, London
Beebe KR, Pell RJ, Seasholtz MB (1998) Chemometrics: a practical guide, 1st edn. Wiley, New York
Bell PM, Wang H (1997) Fuzzy linear regression models for assessing risks of cumulative trauma disorders. Fuzzy Sets Syst 92(3):317–340MathSciNetCrossRef
Belsley D, Kuh E, Welsch R (1980) Regression diagnostics: identifying influential data and sources of collinearity, 1st edn. Wiley, New YorkMATHCrossRef
Ben-Gal I (2005) Outlier detection. In: Maimon O, Rockach L (eds) Data mining and knowledge discovery handbook: a complete guide for practitioners and researchers, Kluwer Academic Publishers, Berlin
Bento A, Bento R (2004) The use of causal analysis techniques in information systems research: a methodological note. J Inf Technol Manage XV(3–4):44–51
Berry WD, Feldman S (1985) Multiple regression in practice. Series on quantitative applications in the social sciences. Sage Publications, California
Blalock HM Jr (1964) Causal inferences in nonexperimental research. University of North Carolina Press, Chapel Hill
Blancett RS (2002) Learning from productivity learning curves. Res Technol Manage 30(3):53–58
Blocken B, Carmeliet J (2004) A review of wind-driven rain research in building science. J Wind Eng Ind Aerodyn 92(13):1079–1130CrossRef
Bordalo R, de Brito J, Gaspar P, Silva A (2011) Service life prediction modelling of adhesive ceramic tiling systems. Build Res Inf 39(1):66–78
Bowerman BL, O’Connel RT, Koehler AB (2005) Forecasting time series and regression, 4th edn. Brooks/Cole Thomson Learning Inc., USA
Box GEP, Draper NR (1987) Empirical model-building and response surfaces. Wiley series in probability and statistics, 1st edn. Wiley, New YorkMATH
Briggen PM, Blocken B, Schellen HL (2009) Wind-driven rain on the facade of a monumental tower: numerical simulation, full-scale validation and sensitivity analysis. Build Environ 44(8):1675–1690CrossRef
Brisbin IL, Collins CT, White GC, McCallum DA (1987) A new paradigm for the analysis and interpretation of growth data: the shape of things to come. Auk 104(3):552–554CrossRef
Brody S (1945) Bioenergetics and growth: with special reference to the energetic efficiency complex in domestic animals, 1st edn. Reinhold Publishers, New York, USA
Brown JE, Fitzhugh HA, Cartwright TC (1976) A comparison of nonlinear models for describing weight-age relationships in cattle. J Anim Sci 42(4):810–818
BS 5385 Part 2: Wall and floor tiling—code of Practice for the design and installation of external ceramic wall tiling and mosaics (1991)
Casasola R, Rincón JM, Romero M (2012) Glass-ceramic glazes for ceramic tiles: a review. J Mater Sci 47(2):553–582CrossRef
Chai C, de Brito J, Gaspar P, Silva A (2014) Predicting the service life of exterior wall painting: techno-economic analysis of alternative maintenance strategies. J Constr Eng Manage 140(3):04013057CrossRef
Chatterjee S, Hadi AS, Price B (2000) Regression analysis by example, 3rd edn. Wiley, New YorkMATH
Chesterton RN, Pfeiffer DU, Morris RS, Tanner CM (1989) Environmental and behavioural factors affecting the prevalence of foot lameness in New Zealand dairy herds—a case-control study. N Z Vet J 37(4):135–142CrossRef
Cohen PR, Carlson A, Ballasteros L, St. Amant R (1993) Automating path analysis for building causal models for data. Computer science technical report 93-38. Experimental Knowledge Systems Laboratory, Department of Computer Science, University of Massachusetts, USA
Cook RD (1977) Detection of influential observations in linear regression. Technometrics 19(365):15–18MathSciNetMATH
Cook RD, Weisberg S (1982) Residuals and influence in regression, 1st edn. Chapman & Hall, London, UKMATH
Cottrell A (2003) Regression analysis: basic concepts. Wake Forest University, Department of Economics, ECN 215: Econometric theory and methods, 4p
Cox DR, Snell EJ (1981) Applied statistics, 1st edn. Chapman and Hall Publishers, LondonMATHCrossRef
Curtis CR, Salman MD, Strickland D, Edmonston B, Erb HN (1988) Path analysis using logistic regression: interpretational and methodological issues. Acta Veterinaria Scandinavica 84 (Supplementum):469–472
D’Urso P, Santoro A (2006) Goodness of fit and variable selection in the fuzzy multiple linear regression. Fuzzy Sets Syst 157(19):2627–2647MathSciNetMATHCrossRef
Dallal GE (2007) The little handbook of statistical practice. Biostatistics Unit, Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, USA
Davis P (1993) Levenberg-Marquardt methods and nonlinear estimation. Soc Ind Appl Math (SIAM) News 26(6):1–12
Davis LW, Moldenhauer R, Davis HD (2014) Terrorism, homeland security, and risk assessment via research proposal, 3rd edn. Xlibris, USA
Deschepper E, Thas O, Ottoy JP (2006) Regional residual plots for assessing the fit of linear regression models. Comput Stat Data Anal 50(8):1995–2013MathSciNetMATHCrossRef
Dette H (2002) A consistent test for heteroscedasticity in nonparametric regression based on the kernel method. J Stat Plan Infer 103(1–2):311–329MathSciNetMATHCrossRef
Dhillon BS (1982) Reliability engineering in systems design and operation, 1st edn. Van Nostrand Reinhold Editors, New York
Dodson B, Nolan D (1999) Reliability engineering handbook, 1st edn. Quality Publishing, New York
Draper NR, Smith H (1998) Applied regression analysis, 3rd edn. Wiley, USAMATH
Durbin J, Watson GS (1971) Testing for serial correlations in least squares regression III. Biometrika 58(1):1–19MathSciNetMATH
El-Basyouny K, Sayed T (2010) A method to account for outliers in the development of safety performance functions. Accid Anal Prev 42(4):1266–1272CrossRef
Ethington C (2010) Multicollinearity. Course EDPR 7/8542 statistical methods applied to education (II). University of Memphis, Memphis
Evans VP (1999) Strategies for detecting outliers in regression analysis: an introductory primer. In: Thompson B (ed) Advances in social science methodology. Annual meeting of the Southwest Educational Research Association, vol 5, pp 213–233
Everitt BS, Dunn G (1991) Applied multivariate data analysis, 1st edn. Edward Arnold Publishers, LondonMATH
Fairchild AJ, McQuillin SD (2010) Evaluating mediation and moderation effects in school psychology: a presentation of methods and review of current practice. J Sch Psychol 48(1):53–84CrossRef
Farrar DE, Glauber RR (1967) Multicollinearity in regression analysis: the problem revisited. Rev Econ Stat 49(1):92–107CrossRef
Fay R, Treloar G, Iyer-Raniga U (2000) Life-cycle energy analysis of buildings: a case study. Build Res Inf 28(1):31–41CrossRef
Fisher RA (1925) Applications of “Student’s” distribution. Metron 5(3):90–104MATH
Florentzou F, Brandt E, Wetzel C (1999) MEDIC—a method for predicting residual service life and refurbishment investment budgets. In: 8th international conference on the durability of building materials and components, Ottawa, Canada, pp 1280–1288
Foss SD (1970) A method of exponential curve fitting by numerical integration. Biometrics 26(4):815–821CrossRef
Franke L, Schumann I, van Hees R, van der Klugt L, Naldini S, Binda L, Baronio G, van Balen K, Mateus J (1998) Damage atlas: classification and analyses of damage patterns found in brick masonry. European Commission Research, report No. 8, vol 2, Fraunhofer IRB Verlag, Brussels
Frazier PA, Tix AP, Barron KE (2004) Testing moderator and mediator effects in counseling psychology research. J Couns Psychol 51(1):115–134CrossRef
Freedman DA (2010) In: Collier D, Sekhon JS, Stark PB (eds) Statistical models and causal inference: a dialogue with social sciences, 1st edn. Cambridge University Press, New York
Galbusera MM, de Brito J, Silva A (2014) Application of the factor method to the prediction of the service life of ceramic external wall cladding. Journal of Performance of Constructed Facilities. doi:10.​1061/​(ASCE)CF.​1943-5509.​0000588
Gardner DG, Gardner JC, Lausii G, Meinke WW (1959) Method for the analysis of multicomponent exponential decay curves. J Chem Phys 31(4):978–986CrossRef
Garrido MA, Paulo PV, Branco FA (2012) Service life prediction of façade paint coatings in old buildings. Constr Build Mater 29:394–402CrossRef
Gaspar P (2009) Service life of constructions: development of a methodology to estimate the durability of construction elements, Application to renders in current buildings (in Portuguese). PhD Thesis in Engineering Sciences at Instituto Superior Técnico, Lisbon, Portugal
Gigerenzer G, Stefan K, Oliver V (2004) The null ritual: what you always wanted to know about significance testing but were afraid to ask. In: Kaplan D (ed) Handbook of quantitative methodology for the social sciences. Sage Publications, Thousand Oaks, pp 391–408
Globerson S, Gold D (1997) Statistical attributes of the power learning curve model. Int J Prod Res 35(3):699–711MATHCrossRef
Gompertz B (1825) On the nature of the function expressive of the law of human mortality and on the new mode of determining the value of life contingencies. Philos Trans R Soc A 115:513–580CrossRef
Goonewardene LA, Wang Z, Okine E, Zuidhof MJ, Dunk E, Onderka D (2003) Comparative growth characteristics of emus (Dromaius novaehollandiae). J Appl Poult Res 12(1):27–31CrossRef
Griva I, Nash SG, Sofer A (2009) Linear and nonlinear optimization, 2nd edn. Society for Industrial and Applied Mathematics, PhiladelphiaMATHCrossRef
Guan WL, Alum J, Liu ZJ, Yang T (1997) Performance of external tiled-wall systems under tropical weathering. J Perform Constr Facil 11(1):24–34CrossRef
Gunst RF, Eubank RL (1983) Regression diagnostics and approximate inference procedures for penalized least squares estimators. Technical report no. SHU/DS/TR—181. Research sponsored by the National Aeronautics Space Administration, Department of Statistics—NASA Contract, Southern Methodist University, Texas, USA
Gupta RD, Kundu D (2007) Generalized exponential distribution: existing results and some recent developments. J Stat Plan Infer 137(11):3537–3547MathSciNetMATHCrossRef
Hagquist C, Stenbeck M (1998) Goodness of fit in regression analysis—R2 and G2 reconsidered. Qual Quant 32(3):229–245CrossRef
Hair JF, Black WC, Babin B, Anderson RE, Tatham RL (2007) Multivariate data analysis, 6th edn. Prentice-Hall Publishers, Englewood Cliffs
Hed G (1999) Service life planning of building components. In: 8th international conference on durability of building materials and components, Vancouver, Canada, pp 1543–1551
Higgins J (2006) The radical statistician: a beginner’s guide to unleashing the power of applied statistics in the real world, 5th edn. Jim Higgins Publishing, USA
Ho DCW, Lo SM, Yiu CY (2005) A study on the causes of external finishes defects in Hong Kong. Struct Surv 23(5):386–402CrossRef
Hoaglin DC, Welsch RE (1978) The hat matrix in regression and ANOVA. Am Stat 32(1):17–22MATH
Hocking RR (2003) Methods and applications of linear models: regression and analysis of variance. Wiley series in probability and statistics, 2nd edn. Wiley, New YorkCrossRef
Hodge VJ, Austin J (2004) A survey of outlier detection methodologies. Artif Intell Rev 22(2):85–126MATHCrossRef
Holmbeck GN (1997) Toward terminological, conceptual, and statistical clarity in the study of mediators and moderators: examples from the child-clinical and paediatric psychology literatures. J Consult Clin Psychol 65(4):599–610CrossRef
Hsieh FY, Lavori PW (2000) Sample-size calculations for the Cox proportional regression model with nonbinary covariates. Control Clin Trials 21(6):552–560CrossRef
Hubbard R, Bayarri MJ (2003) Confusion over measures of evidence (p’s) versus errors (α’s) in classical statistical testing (with comments). Am Stat 57(3):171–182MathSciNetCrossRef
Jahufer A, Jianbao C (2009) Assessing global influential observations in modified ridge regression. Stat Probab Lett 79(4):513–518MathSciNetMATHCrossRef
James LR, Brett JM (1984) Mediators, moderators, and tests for mediation. J Appl Psychol 69(2):307–321CrossRef
Jarque CM, Bera AK (1980) Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Econ Lett 6(3):255–259MathSciNetCrossRef
Johnson RA, Wichern DW (2007) Applied multivariate statistical analysis, 6th edn. Prentice-Hall Inc., Englewood CliffMATH
Judge GC, Griffiths WE, Hill RC, Lutkepohl H, Lee T-C (1985) The theory and practice of econometrics, 2nd edn. Wiley, USAMATH
Karadavut U (2009) Non-linear models for growth curves of triticale plants under irrigation conditions. Turk J Field Crops 14(2):105–110
Keith T (2015) Multiple regression and beyond. An introduction to multiple regression and structural equation modeling, 2nd edn. Routledge Publisher, New York
Kendall MG, Buckland WR (1982) A dictionary of statistical terms, 4th edn. Longman Group, LondonMATH
Keoleian GA, Blanchard S, Reppe P (2001) Life-cycle energy, costs, and strategies for improving a single-family house. J Ind Ecol 4(2):135–156CrossRef
Kersey RS, Brinks JS (1985) Genetic and environmental aspects of the growth curve parameters in beef cows. J Anim Sci 61(6):1431–1440
King G (1986) How not to lie with statistics: avoiding common mistakes in quantitative political science. Am J Polit Sci 30(3):666–687CrossRef
Knecht G (1974) Costing, technological growth and generalized learning curves. Oper Res Q 25(3):487–491MATHCrossRef
Kus H, Nygren K, Norberg P (2004) In-use performance assessment of rendered autoclaved concrete walls by long-term moisture monitoring. Build Environ 39(6):677–687CrossRef
Kutner MH, Nachtsheim C, Neter J, Li W (2005) Applied linear statistical methods, 5th edn. McGraw-Hill, New York
Larsen WA, McCleary SJ (1972) The use of partial residual plots in regression analysis. Technometrics 14:781–790CrossRef
Leclerc G, Pireaux JJ (1995) The use of least squares for XPS peak parameters estimation. Part 3. Multicollinearity, ill-conditioning and constraint-induced bias. J Electron Spectrosc Relat Phenom 71(2):179–190CrossRef
Leung AWT, Tam CM, Liu DK (2001) Comparative study of artificial neural networks and multiple regression analysis for predicting hoisting times of tower cranes. Build Environ 36(4):457–467CrossRef
Levenberg K (1944) A method for the solution of certain non-linear problems in least squares. Q Appl Math II(2):164–168
Lin L (2007) Using SPSS for multiple regression. Course UDP 520—quantitative methods in urban design and planning. University of Washington, USA
Lipinski MR, Roeleveld MA (1990) Minor extension of the von Bertalanffy growth theory. Fish Res 9(4):367–371CrossRef
Lipton S, McGilchrist CA (1964) The derivation of methods for fitting exponential regression curves. Biometrika 51(3–4):504–508MathSciNetMATH
Liu H, Shah S, Jiang W (2004) On-line outlier detection and data cleaning. Comput Chem Eng 28(9):1635–1647CrossRef
Lubinski D, Humphreys LG (1990) Assessing spurious “moderator effects”: illustrated substantively with the hypothesized (“synergistic”) relation between spatial and mathematical ability. Psychol Bull 107(3):385–393CrossRef
MacDonald B (2002) A teaching note on Cook’s distance—a guideline. Res Lett Inf Math Sci 3:127–128
Maroco J (2007) Statistical analysis using SPSS. (in Portuguese), 3rd edn. Sílabo Editions, Lisbon
Marin-Galiano M, Kunert J (2006) Comparison of ANOVA with Tobit model for analyzing sensory data. Food Qual Prefer 17(3–4):209–218CrossRef
Marquardt DW (1970) Generalized inverses, ridge regression, biased linear estimation and non-linear estimation. Technometrics 12(3):591–612MATHCrossRef
Marshall AW, Olkin I (1995) Multivariate exponential and geometric distributions with limited memory. J Multivar Analy 53(1):110–125MathSciNetMATHCrossRef
Martin JW, Saunders SC, Floyd FL, Wineburg JP (1996) Methodologies for predicting the service lives of coating systems. Federation of Societies for Coatings Technology, Blue Bell, Pennsylvania, USA
Mason CH, Perreault WD (1991) Collinearity, power, and interpretation of multiple regression analysis. J Mark Res 28(3):268–280CrossRef
McRoberts RE (2009) Diagnostic tools for nearest neighbors techniques when used with satellite imagery. Remote Sens Environ 113(3):489–499MathSciNetCrossRef
Meloun M, Militký J (2001) Detection of single influential points in OLS regression model building. Anal Chim Acta 439(2):169–191CrossRef
Mondragon PF (2003) A comparison of nonlinear regression codes. Master thesis of Science in Mathematics with Operations Research and Statistics Option, New Mexico Institute of Mining and Technology, New Mexico
Montgomery DC (1984) Design and analysis of experiments, 2nd edn. Wiley, New York
Montgomery DC, Ruger GC (2003) Applied statistics and probability for engineers, 3rd edn. Wiley, USA
Montgomery DC, Peck EC, Vining GG (2001) Introduction to linear regression analysis, 3rd edn. Wiley, USAMATH
Moore DS (1997) Statistics, concepts and controversies, 4th edn. W.H. Freeman and Company, New York
Morad S, Shacham M, Brenner A (2007) Utilization of collinearity in regression modeling of activated sludge processes. Chem Eng Process 46(3):222–229CrossRef
Morgan PH, Mercer LP, Flodin NW (1975) General model for nutritional responses of higher organisms. Natl Acad Sci USA 72(11):4327–4331CrossRef
Moss TR (2005) The reliability data handbook, 1st edn. Professional Engineering Publishing Limited and Bury St. Edmunds, London
Motulsky HJ, Ransnas LA (1987) Fitting curves to data using nonlinear regression: a practical and nonmathematical review. FASEB J 1(5):365–374
Musil CM, Jones SL, Warner CD (1998) Structural equation modelling and its relationship to multiple regression and factor analysis. Res Nurs Health 21(3):271–281CrossRef
Myers RH (1990) Classical and modern regression with applications, 2nd edn. Duxbury press, CA
Nembhard DA, Uzumeri MV (2000) An individual-based description of learning within an organization. IEEE Trans Eng Manage 47(3):370–378CrossRef
Neter J, Kutner MH, Nachtsheim CJ, Wasserman W (1996) In: Irwin RD (ed) Applied linear statistical models, 4th edn. Times Mirror Higher Education Group, Inc., Chicago
Osborne J, Waters E (2002) Four assumptions of multiple regression that researchers should always test. Pract Assess Res Eval 8(2):1–5
Paulo PV, Branco FA, de Brito J (2011) Deterministic and stochastic prediction models for the BuildingsLife platform. In: XII DBMC, 9th international conference on durability of building materials and components, Porto, pp 1–9
Pedersen RØ, Skovsgaard JP (2009) Impact of bias in predicted height on tree volume estimation: a case-study of intrinsic nonlinearity. Ecol Model 220(20):2656–2664CrossRef
Perl W (1960) A method for curve-fitting by exponential functions. Int J Appl Radiat Isot 8(4):211–222CrossRef
Piaw CY (2006) Basic research statistics (Book 2). McGraw-Hill, Kuala Lumpur (in Malay)
Pires JCM, Martins FG, Sousa SIV, Alvim-Ferraz MCM, Pereira MC (2008) Selection and validation of parameters in multiple linear and principal component regressions. Environ Model Softw 23(1):50–55CrossRef
Pitts BJF, Pitts JN (2000) Chemistry of the upper and lower atmosphere. Theory, experiments and applications. Academic Press, New York
Preacher KJ, Rucker DD, Hayes AF (2007) Addressing moderated mediation hypotheses: theory, methods, and prescriptions. Multivar Behav Res 42(1):185–227CrossRef
Ratkowsky DA (1983) Nonlinear regression modeling: a unified practical approach, 1st edn. Marcel Dekker Editors, New York
Rauch AF (1997) EPOLLS: an empirical method for predicting surface displacements due to liquefaction-induced lateral spreading in earthquakes. PhD thesis in Civil Engineering, Faculty of the Virginia Polytechnic Institute and State University, Virginia, USA
Rice WR (1989) Analyzing tables of statistical tests. Evolution 43(1):223–225CrossRef
Richards JF (1959) A flexible growth function for empirical use. Journal of Experimental Botany 10(2):290–301MathSciNetCrossRef
Rougoor CW, Dijkhuizen AA, Huirne RBM, Mandersloot F, Schukken YH (1997) Relationships between technical, economic and environmental results on dairy farms: an explanatory study. Livestock Prod Sci 47(3):235–244CrossRef
Royall RM (1997) Statistical evidence: a likelihood paradigm. Chapman and Hall Editors, New York
Samal AR, Mohanty MK, Fifarek RH (2008) Backward elimination procedure for a predictive model of gold concentration. J Geochem Explor 97(2–3):69–82CrossRef
Satapathy SC, Murthy JVR, Reddy PVGDP, Misra BB, Dash PK, Panda G (2009) Particle swarm optimized multiple linear regression linear model for data classification. Appl Soft Comput 9(2):470–476
Savin NE, White MB (1977) The Durbin-Watson test for serial correlation with extreme sample sizes or array regressors. Econometrica 15:1989–1996MATHCrossRef
Sawalha Z, Sayed T (2006) Traffic accidents modeling: some statistical issues. Can J Civ Eng 33(9):1115–1124CrossRef
Seber GAF, Wild CL (1989) Nonlinear Regression. Wiley series in probability and mathematical statistics. Wiley, New York
Seinfeld JH, Pandis SN (1998) Atmospheric chemistry and physics. From air pollution to climate change. Wiley, New York
Serdahl E (1996) An introduction to graphical analysis of residual scores and outlier detection in bivariate least squares regression analysis. Annual meeting of the Southwest Educational Research Association, New Orleans, USA
Shipley B (2000) Cause and correlation in biology: a user’s guide to path analysis, structural equations and causal inference. Cambridge University Press, CambridgeCrossRef
Shohet IM, Paciuk M (2004) Service life prediction of exterior cladding components under standard conditions. Constr Manage Econ 22(10):1081–1090CrossRef
Shohet I, Rosenfeld Y, Puterman M, Gilboa E (1999) Deterioration patterns for maintenance management—a methodological approach. In: 8th international conference on durability of building materials and components, Vancouver, Canada, pp 1666–1678
Shohet IM, Puterman M, Gilboa E (2002) Deterioration patterns of building cladding components for maintenance management. Constr Manage Econ 20(4):305–314CrossRef
Silva A, de Brito J, Gaspar PL (2012) Application of the factor method to maintenance decision support for stone cladding. Autom Constr 22:165–174CrossRef
Silva A, Gaspar PL, de Brito J (2016) Comparative analysis of service life prediction methods applied to rendered façades. Mater Struct pp 1–18. doi:10.​1617/​s11527-016-0832-6
Sirkin RM (2006) Statistics for the social sciences, 3rd edn. Sage Publications, California, USAMATH
Spanos A, McGuirk A (2002) The problem of near-multicollinearity revisited: erratic vs. systematic volatility. J Econom 108(2):365–393MathSciNetMATHCrossRef
Staniswalis JG (2006) On fitting generalized non-linear models with varying coefficients. Comput Stat Data Anal 50(7):1818–1839MathSciNetMATHCrossRef
Stevens JP (2009) Applied multivariate statistics for the social sciences, 5th edn. Routledge Publisher, New YorkMATH
Sykes AO (1992) An introduction to regression analysis. The inaugural case lecture. Chicago working paper in Law & Economics. The University of Chicago, The Law School, 1 Dec 1992, 33p
Tabachnick BG, Fidell LS (1996) Using multivariate statistics, 3rd edn. Collins College Publishers, New York
Taylor J (2009) Multiple linear regression. Course statistics 191: introduction to applied statistics. Department of Statistics, Stanford University, Stanford, California, 2 Feb 2009, 38p
Teo EAL, Chew MYL, Harikrishna N (2005) An assessment of factors affecting the service life of external paint finish on plastered facades. In: 10th international conference on durability of building materials and components, Lyon, TT4-152
Velleman P, Welsch R (1981) Efficient computing of regression diagnostics. Am Stat 35(4):234–242MATH
Vigil DP, Sarper H (1994) Estimating the effects of parameter variability on learning curve model predictions. Int J Prod Econ 34(2):187–200CrossRef
Viitaniemi P, Haapio A (2008) How workmanship should be taken into account in service life planning. In: 11th DBMC international conference on durability of buildings materials and components, DBMC 2008, Istanbul, Turkey, T45
Vits J, Gelders L (2002) Performance improvement theory. Int J Prod Econ 77(3):285–298CrossRef
Von Bertalanffy L (1938) A quantitative theory of organic growth. Hum Biol 10(2):181–213
Von Bertalanffy L (1957) Quantitative laws in metabolism and growth. Q Rev Biol 32(3):217–230CrossRef
Wallentin B, Ågren A (2002) Test of heteroscedasticity in a regression model in the presence of measurement errors. Econ Lett 76(2):205–211CrossRef
Weibull W (1951) A statistical distribution function of wide applicability. J Appl Mech 18(3):293–297MATH
Westberg K, Norén J, Kus H (2001) On using available environment data in service life estimations. Build Res Inf 29(6):428–439CrossRef
Wheeler DC, Hickson DA, Waller LA (2010) Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion. Comput Stat Data Anal 6(1):1657–1671MathSciNetMATHCrossRef
Williams R (2004) Analytic strategies: simultaneous, hierarchical, and stepwise regression. Course of Sociology 63992, University of Notre Dame, Indiana
Williams GJ, Baxter RA, He HX, Hawkins S, Gu L (2002) A Comparative study of rnn for outlier detection in data mining. In: IEEE international conference on data-mining (ICDM’02), Maebashi City, Japan, CSIRO technical report CMIS-02/102
Woods PSA, Wynne HJ, Ploeger HW, Leonard DK (2003) Path analysis of subsistence farmers’ use of veterinary services in Zimbabwe. Prev Vet Med 61(4):339–358CrossRef
Wooldridge JM (2009) Introductory econometrics: a modern approach, 4th edn. South-Western College Publishing, Cengage Learning, 867p
Worsley BH, Lax LC (1962) Selection of a numerical technique for analyzing experimental data of the decay type with special reference to the use of tracers in biological systems. Biochim Biophys Acta 59(1):1–24CrossRef
Wright TP (1936) Factors affecting the cost of airplanes. J Aeronaut Sci 3(4):122–128CrossRef
Xie M, Lai CD (1996) Reliability analysis using an additive Weibull model with bathtub-shaped failure rate function. Reliab Eng Syst Saf 52(1):87–93CrossRef
Yaffee RA (2004) Regression analysis with SPSS. Statistics, Mapping and Social Science Group Academic Computing Services, Information Technology Services, New York University, New York, USA
Yan X, Su X (2009) Linear regression analysis: theory and computing. World Scientific Publishing Company Inc., SingaporeMATHCrossRef
Yelle LE (1979) The learning curve: historical review and comprehensive survey. Decis Sci 10(2):302–328CrossRef
Yiu CY, Ho DCW, Lo SM (2007) Weathering effects on external wall tiling systems. Constr Build Mater 21(3):594–600CrossRef
Zar J (1999) Biostatistical analysis, 4th edn. Prentice-Hall, Inc., Englewood Cliff
Zhu Q, Guan WL (1997) Hygrothermal load on composite-facade performance. In: Conference on building envelope systems & technology, Bath, UK, pp. 435–440
Ziliak ST, McCloskey D (2009) The cult of statistical significance. In: Proceedings of the joint statistical meetings 2009, Washington, DC, pp 2302–2316
Metadaten
Titel
Deterministic Models
verfasst von
Ana Silva
Jorge de Brito
Pedro Lima Gaspar
Copyright-Jahr
2016
Buch
Methodologies for Service Life Prediction of Buildings

Print ISBN: 978-3-319-33288-8

Electronic ISBN: 978-3-319-33290-1

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-33290-1_3

Neuer Inhalt

    Bildnachweise