A note on asymptotic testing theory for nonhomogeneous observations

L. Fahrmeir

Stochastic Processes and their Applications, 1988, vol. 28, issue 2, 267-273

Abstract: This note shows, for ergodic and nonergodic models, how previous results on the limit distributions of the likehood ratio, score and Wald statistics can be extended under full matrix normalization. Compared to n1/2-or diagonal norming this allows, just as in asymptotic estimation theory, for more heterogeneity of the data. As a key tool the Cholesky square root is used instead of the common symmetric square root.

Keywords: test; statistics; limit; distributions; full; matrix; normalization (search for similar items in EconPapers)
Date: 1988
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