Consistent Specification Testing With Nuisance Parameters Present Only Under The Alternative

Consistent Specification Testing With Nuisance Parameters Present Only Under The Alternative (1995)

by Maxwell B. Stinchcombe , Halbert White

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Datum	Value	Source
TITLE	Consistent Specification Testing With Nuisance Parameters Present Only Under The Alternative	user correction - Legacy Corrections
AUTHOR NAME	Maxwell B. Stinchcombe	SVM HeaderParse 0.2
AUTHOR NAME	Halbert White	SVM HeaderParse 0.2
ABSTRACT	. The nonparametric and the nuisance parameter approaches to consistently testing statistical models are both attempts to estimate topological measures of distance between a parametric and a nonparametric fit, and neither dominates in experiments. This topological unification allows us to greatly extend the nuisance parameter approach. How and why the nuisance parameter approach works and how it can be extended bears closely on recent developments in artificial neural networks. Statistical content is provided by viewing specification tests with nuisance parameters as tests of hypotheses about Banach-valued random elements and applying the Banach Central Limit Theorem and Law of Iterated Logarithm, leading to simple procedures that can be used as a guide to when computationally more elaborate procedures may be warranted. 1. Introduction In testing whether or not a parametric statistical model is correctly specified, there are a number of apparently distinct approaches one might take. T...	user correction - Legacy Corrections
YEAR	1995	user correction - Legacy Corrections
PAGES	295--325	INFERENCE
VOLUME	14	INFERENCE
CITATIONS	53 found	ParsCit 1.0