Matches in SemOpenAlex for { <https://semopenalex.org/work/W4239637484> ?p ?o ?g. }
Showing items 1 to 61 of
61
with 100 items per page.
- W4239637484 endingPage "252" @default.
- W4239637484 startingPage "251" @default.
- W4239637484 abstract "Free Access References Reinhard Viertl, Reinhard Viertl Vienna University of Technology, AustriaSearch for more papers by this author Book Author(s):Reinhard Viertl, Reinhard Viertl Vienna University of Technology, AustriaSearch for more papers by this author First published: 05 January 2011 https://doi.org/10.1002/9780470974414.refsBook Series:Wiley Series in Probability and Statistics AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. References Arnold, B. F. (1996) An approach to fuzzy hypothesis testing, Metrika, 44, 119– 126. Catlin, D. E. (1989) Estimation, Control and the Discrete Kalman Filter, Springer, New York. Diamond, P. and Kloeden, P. (1990) Metric spaces of fuzzy sets, Fuzzy Sets Syst., 35, 241– 249. Diamond, P. and Kloeden, P. (1992) Metric spaces of fuzzy sets: corrigendum, Fuzzy Sets Syst., 45, 123. Diamond, P. and Kloeden, P. (1994) Metric Spaces of Fuzzy Sets, World Scientific, Singapore. Dutter, R. and Viertl, R. (1998) Computation of confidence regions based on non-precise data, in COMPSTAT-Proceedings in Computational Statistics, Short Communications, IACR, Rothamsted, pp. 27– 28. Feng, Y. (2001) Sums of independent fuzzy random variables, Fuzzy Sets Syst., 123, 11– 18. Feng, Y., Hu, L. and Shu, H. (2001) The variance and covariance of fuzzy random variables and their application, Fuzzy Sets Syst., 120, 487– 497. Filzmoser, P. and Viertl, R. (2004) Testing hypotheses with fuzzy data, Metrika, 59, 21– 29. Fréchet, M. (1948) Les éléments aléatoires de natures quelconque dans un éspace distancié, Ann. Inst. H. Poincaré, 10, 215– 310. Gebhardt, J., Gil, M. and Kruse, R. (1997) Fuzzy set-theoretic methods in statistics, in R. Slowinski (ed.) Handbook of Fuzzy Sets, Kluwer, Dordrecht, pp. 311– 347. Grewal, M. S. and Andrews, A. P. (2001) Kalman Filtering, John Wiley & Sons, Ltd, New York. Grzegorzewski, P. (2001) Fuzzy tests – defuzzification and randomization, Fuzzy Sets Syst., 180, 437– 446. Hareter, D. (2003) Zeitreihenanalyse mit unscharfen Daten, Doctoral dissertation, Vienna University of Technology, Vienna. Janacek, G. (2001) Practical Time Series, Oxford University Press, New York. Klement, E., Mesiar, R. and Pap, E. (2000) Triangular Norms, Kluwer, Dordrecht. Körner, R. (1997a) Linear Models with Random Fuzzy Variables, Dissertation, TU Bergakademie Freiburg. Körner, R. (1997b) On the variance of random fuzzy variables, Fuzzy Sets Syst., 92, 83– 93. Körner, R. (2000) An asymptotic α-test for the expectation of random fuzzy variables. J. Statist. Plann. Inference, 83, 331– 346. Körner, R. and Näther, W. (1998) Linear regression with random fuzzy variables: extended classical estimates, best linear estimates, least squares estimates, Inform. Sci., 109, 95– 118. Körner, R. and Näther, W. (2002) On the variance of random fuzzy variables, Stud. Fuzziness Soft Comput., 87, 25– 42. Krätschmer, V. (2001) Some complete metrics on spaces of fuzzy subsets, Fuzzy Sets Syst., 130, 357– 365. Luptáčik, M. (1981) Nichtlineare Programmierung mit ökonomischen Anwendungen, Athenäum Verlag, Königstein. Meinhold, R. J. and Singpurwalla, N. D. (1983) Understanding the Kalman Filter, Am. Stat., 37, 123– 127. Menger, K. (1951) Ensembles flous et fonctions aleatoires, C. R. Acad. Sci., 232, 2001– 2003. Munk, K. (1998) Regressionsrechnung mit unscharfen Daten, Diploma thesis, Institute of Statistics and Probability Theory, Vienna University of Technology, Vienna. Näther, W. (1997) Linear statistical inference for random fuzzy data, Statistics, 29, 221– 240. Näther, W. and Albrecht, M. (1990) Linear regression with random fuzzy observations, Statistics, 21, 521– 531. Parchami, A., Taheri, S. and Mashinchi, M. (2010) Fuzzy p-value in testing fuzzy hypotheses with crisp data, Stat. Papers, 51, 209– 226. Puri, M. L. and Ralescu, D. A. (1986) Fuzzy random variables, J. Math. Anal. Appl., 114, 409– 422. Römer, C. and Kandel, A. Statistical tests for fuzzy data, Fuzzy Sets Syst., 72, 1– 26. Schlittgen, R. and Streitberg, H. J. (1984) Zeitreihenanalyse, 8th edition, Oldenbourg Verlag, Munich. Schönfeld, P. (1969) Methoden der Ökonometrie. Band I – Lineare Regressionsmodelle, Vahlen, Berlin. Schnatter, S. (1990) Linear dynamic systems and fuzzy data, in R. Trappl (ed.) Cybernetics and Systems ’90, World Scientific, Singapore. Taheri, S. (2003) Trends in fuzzy statistics, Aust. J. Stat., 32, 239– 257. Trutschnig, W. (2006) Fuzzy Probability Distributions, Doctoral dissertation, Vienna University of Technology, Vienna. Viertl, R. (1987) Is it necessary to develop a fuzzy Bayesian inference, in R. Viertl (ed.) Probability and Bayesian Statistics, Plenum Press, New York, pp. 471– 475. Viertl, R. (2002) On the description and analysis of measurement results of continuous quantities, Kybernetika, 38, 353– 362. Viertl, R. and Hareter, D. (2006) Beschreibung und Analyse unscharfer Information – Statistische Methoden für unscharfe Daten, Springer, Vienna. Zadeh, L. A. (1965) Fuzzy sets, Inform. Control, 8, 338– 353. Statistical Methods for Fuzzy Data ReferencesRelatedInformation" @default.
- W4239637484 created "2022-05-12" @default.
- W4239637484 date "2011-01-05" @default.
- W4239637484 modified "2023-09-24" @default.
- W4239637484 title "References" @default.
- W4239637484 cites W1501233054 @default.
- W4239637484 cites W1977914365 @default.
- W4239637484 cites W1987197156 @default.
- W4239637484 cites W1988416570 @default.
- W4239637484 cites W1990030337 @default.
- W4239637484 cites W1995395103 @default.
- W4239637484 cites W1997679081 @default.
- W4239637484 cites W1999697669 @default.
- W4239637484 cites W2001767626 @default.
- W4239637484 cites W2010909262 @default.
- W4239637484 cites W2016260524 @default.
- W4239637484 cites W2039628986 @default.
- W4239637484 cites W2058688058 @default.
- W4239637484 cites W2058702442 @default.
- W4239637484 cites W2059228993 @default.
- W4239637484 cites W2059926155 @default.
- W4239637484 cites W2087181190 @default.
- W4239637484 cites W2093827652 @default.
- W4239637484 cites W2264544574 @default.
- W4239637484 cites W349635554 @default.
- W4239637484 cites W4211007335 @default.
- W4239637484 cites W4214571706 @default.
- W4239637484 cites W4234672050 @default.
- W4239637484 cites W42945536 @default.
- W4239637484 doi "https://doi.org/10.1002/9780470974414.refs" @default.
- W4239637484 hasPublicationYear "2011" @default.
- W4239637484 type Work @default.
- W4239637484 citedByCount "0" @default.
- W4239637484 crossrefType "other" @default.
- W4239637484 hasBestOaLocation W42396374841 @default.
- W4239637484 hasConcept C11413529 @default.
- W4239637484 hasConcept C118615104 @default.
- W4239637484 hasConcept C198043062 @default.
- W4239637484 hasConcept C33923547 @default.
- W4239637484 hasConceptScore W4239637484C11413529 @default.
- W4239637484 hasConceptScore W4239637484C118615104 @default.
- W4239637484 hasConceptScore W4239637484C198043062 @default.
- W4239637484 hasConceptScore W4239637484C33923547 @default.
- W4239637484 hasLocation W42396374841 @default.
- W4239637484 hasOpenAccess W4239637484 @default.
- W4239637484 hasPrimaryLocation W42396374841 @default.
- W4239637484 hasRelatedWork W1971871035 @default.
- W4239637484 hasRelatedWork W2008268994 @default.
- W4239637484 hasRelatedWork W2077696093 @default.
- W4239637484 hasRelatedWork W2095857608 @default.
- W4239637484 hasRelatedWork W2156777494 @default.
- W4239637484 hasRelatedWork W2230717410 @default.
- W4239637484 hasRelatedWork W2317994487 @default.
- W4239637484 hasRelatedWork W2467751856 @default.
- W4239637484 hasRelatedWork W1587207900 @default.
- W4239637484 hasRelatedWork W2210719860 @default.
- W4239637484 isParatext "false" @default.
- W4239637484 isRetracted "false" @default.
- W4239637484 workType "other" @default.