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Volumn 63, Issue 4, 2003, Pages 425-433

A Kolmogorov-type test for monotonicity of regression

Author keywords

Least concave majorant; Local alternative; Nonparametric test; Power; Test for monotonicity

Indexed keywords


EID: 0038308518     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-7152(03)00122-6     Document Type: Article
Times cited : (35)

References (13)
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    • Characterization of the least concave majorant of Brownian motion, conditional on a vertex point, with application to construction
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    • Carolan, C., Dykstra, R., 2002. Characterization of the least concave majorant of Brownian motion, conditional on a vertex point, with application to construction. Technical Report.
    • (2002)
    • Carolan, C.1    Dykstra, R.2
  • 5
    • 0035592604 scopus 로고    scopus 로고
    • Multiscale testing of qualitative hypotheses
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    • Dümbgen, L.1    Spokoiny, V.G.2
  • 6
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    • On the distance between the empirical process and its least concave majorant in a monotone regression framework
    • Durot C. Tocquet A.-S. On the distance between the empirical process and its least concave majorant in a monotone regression framework Ann. Inst. H. Poincaré B 29 2002 217-240.
    • (2002) Ann. Inst. H. Poincaré B , vol.29 , pp. 217-240
    • Durot, C.1    Tocquet, A.-S.2
  • 8
    • 0037578455 scopus 로고    scopus 로고
    • Tests for monotonicity of a regression mean with guaranteed level
    • Gijbels I. Hall P. Jones M.C. Koch I. Tests for monotonicity of a regression mean with guaranteed level Biometrika 87 2000 663-673.
    • (2000) Biometrika , vol.87 , pp. 663-673
    • Gijbels, I.1    Hall, P.2    Jones, M.C.3    Koch, I.4
  • 9
    • 0034398035 scopus 로고    scopus 로고
    • Testing for monotonicity of a regression mean by calibrating for linear functions
    • Hall P. Heckman N.E. Testing for monotonicity of a regression mean by calibrating for linear functions Ann. Statist. 28 2000 20-39.
    • (2000) Ann. Statist. , vol.28 , pp. 20-39
    • Hall, P.1    Heckman, N.E.2
  • 11
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    • Bandwidth choice for nonparametric kernel regression
    • Rice J. Bandwidth choice for nonparametric kernel regression Ann. Statist. 12 1984 1215-1230.
    • (1984) Ann. Statist. , vol.12 , pp. 1215-1230
    • Rice, J.1
  • 12
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    • Estimates in the invariance principle. Predel'nye Teoremy Teorii Veroyatnostej
    • Sakhanenko A.I. Estimates in the invariance principle. Predel'nye Teoremy Teorii Veroyatnostej Tr. Inst. Mat. 5 1985 27-44.
    • (1985) Tr. Inst. Mat. , vol.5 , pp. 27-44
    • Sakhanenko, A.I.1
  • 13
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    • Nonparametric tests of the monotony and convexity of regression
    • Gnedenko, B.V., Puri, M.L., Vincze, I. (Eds.), North-Holland, Amsterdam
    • Schlee, W., 1982. Nonparametric tests of the monotony and convexity of regression. In: Gnedenko, B.V., Puri, M.L., Vincze, I. (Eds.), Nonparametric Statistical Inference, Vol. 2. North-Holland, Amsterdam, pp. 823-836.
    • (1982) Nonparametric Statistical Inference , vol.2 , pp. 823-836
    • Schlee, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.