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Volumn 130, Issue 1, 2006, Pages 101-122

A new approximate point optimal test of a composite null hypothesis

Author keywords

Composite hypotheses; Generalized Neyman Pearson lemma; Maximal invariant; Point optimal testing

Indexed keywords

ASYMPTOTIC STABILITY; COMPUTER SIMULATION; ERROR ANALYSIS; MATHEMATICAL MODELS; OPTIMAL CONTROL SYSTEMS;

EID: 28244495124     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jeconom.2004.08.020     Document Type: Article
Times cited : (9)

References (16)
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    • Goffe, W.L.1    Ferrier, G.D.2    Rogers, J.3
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    • M.L. King Testing for autoregressive against moving average errors in the linear regression model Journal of Econometrics 21 1983 35 51
    • (1983) Journal of Econometrics , vol.21 , pp. 35-51
    • King, M.L.1
  • 8
    • 0011414137 scopus 로고
    • A point optimal test for autoregressive disturbances
    • M.L. King A point optimal test for autoregressive disturbances Journal of Econometrics 27 1985 21 37
    • (1985) Journal of Econometrics , vol.27 , pp. 21-37
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  • 9
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    • Towards a theory of point optimal testing
    • M.L. King Towards a theory of point optimal testing Econometric Reviews 6 1987 169 218
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    • Error mis-specifications and spurious regressions
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    • Newbold, P.1    Davies, N.2
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    • A comparison of marginal likelihood based and approximate point optimal tests for random regression coefficients in the presence of autocorrelation
    • S. Rahman, and M.L. King A comparison of marginal likelihood based and approximate point optimal tests for random regression coefficients in the presence of autocorrelation Pakistan Journal of Statistics 10 1994 375 394
    • (1994) Pakistan Journal of Statistics , vol.10 , pp. 375-394
    • Rahman, S.1    King, M.L.2
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    • Testing for AR(1) against IMA(1,1) disturbances in the linear regression model
    • P. Silvapulle Testing for AR(1) against IMA(1,1) disturbances in the linear regression model Communication in Statistics Theory and Methods 23 1994 701 720
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    • Testing moving average against autoregressive disturbances in the linear regression model
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    • Silvapulle, P.1    King, M.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.