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  • Search: subject:"finite sample test"
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Year of publication
Subject
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Monte Carlo test 6 exact test 6 test exact 5 bootstrap 4 finite sample test 3 finite-sample test 3 test de Monte Carlo 3 Bootstrap 2 Multivariate linear regression 2 Seemingly unrelated regressions 2 asymptotics 2 bounds 2 maximized monte Carlo test 2 nonstandard asymptotic distribution 2 nuisance parameter 2 parametric bootstrap 2 simulated annealing 2 specification test 2 test de spécification 2 test valide en échantillon fini 2 test à distance finie 2 ARCH 1 ARCH in mean 1 ARCH-en-moyenne 1 Bounds Tests 1 Bounds test 1 Cost Function 1 Cost function 1 Exact Test 1 Exact test 1 Factor Demand 1 Factor demand 1 Finite-Sample Test 1 Finite-sample test 1 GARCH 1 Heteroskedasticity 1 LM test 1 Markov process 1 Modèle de régression multivarié 1 Monte Carlo Test 1
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Online availability
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Free 8
Type of publication
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Book / Working Paper 8
Language
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English 3 Undetermined 3 French 2
Author
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Dufour, Jean-Marie 7 Khalaf, Lynda 5 Bernard, Jean-Thomas 1 DUFOUR, Jean-Marie 1 Genest, Ian 1 Torrès, Olivier 1
Institution
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Centre Interuniversitaire de Recherche en Analyse des Organisations (CIRANO) 5 Centre Interuniversitaire de Recherche en Économie Quantitative (CIREQ) 1 Département d'Économique, Université Laval 1 Groupe de recherche en économie de l'énergie, de l'environnement et des ressources naturelles, Université Laval 1
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CIRANO Working Papers 5 Cahiers de recherche 3
Source
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RePEc 8
Showing 1 - 8 of 8
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Monte Carlo tests with nuisance parameters: a general approach to finite-sample inference and non-standard asymptotics
Dufour, Jean-Marie - Centre Interuniversitaire de Recherche en Analyse des … - 2005
The technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] provides an attractive method of building exact tests from statistics whose finite sample distribution is intractable but can be simulated (provided it does not involve nuisance parameters). We extend this method in two ways:...
Persistent link: https://www.econbiz.de/10005100868
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Monte Carlo Tests with Nuisance Parameters: A General Approach to Finite-Sample Inference and Nonstandard Asymptotics
DUFOUR, Jean-Marie - Centre Interuniversitaire de Recherche en Économie … - 2005
The technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] provides an attractive method of building exact tests from statistics whose finite sample distribution is intractable but can be simulated (provided it does not involve nuisance parameters). We extend this method in two ways:...
Persistent link: https://www.econbiz.de/10008671575
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Simulation-Based Finite-Sample Tests for Heteroskedasticity and ARCH Effects
Bernard, Jean-Thomas; Dufour, Jean-Marie; Genest, Ian; … - Centre Interuniversitaire de Recherche en Analyse des … - 2001
A wide range of tests for heteroskedasticity have been proposed in the econometric and statistics literatures. Although a few exact homoskedasticity tests are available, the commonly employed procedures are quite generally based on asymptotic approximations which may not provide good size...
Persistent link: https://www.econbiz.de/10005101027
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Finite-Sample Simulation-Based Tests in Seemingly Unrelated Regressions
Dufour, Jean-Marie; Khalaf, Lynda - Groupe de recherche en économie de l'énergie, de … - 2001
In this paper, we propose finite and large sample likelihood based test procedures for possibly non-linear hypotheses on the coefficients of SURE systems. Two complementary approaches are described. First, we propose an exact Monte Carlo bounds test based on the standard likelihood ratio...
Persistent link: https://www.econbiz.de/10005696246
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Finite-Sample Simulation-Based Tests in Seemingly Unrelated Regressions
Dufour, Jean-Marie; Khalaf, Lynda - Département d'Économique, Université Laval - 2001
test; nonlinear hypothesis; finite-sample test; exact test; bootstrap; factor demand; cost function. Journal of Economic …
Persistent link: https://www.econbiz.de/10005696420
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Exact Tests for Contemporaneous Correlation of Disturbances in Seemingly Unrelated Regressions
Dufour, Jean-Marie; Khalaf, Lynda - Centre Interuniversitaire de Recherche en Analyse des … - 2000
This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not. We apply the technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] to...
Persistent link: https://www.econbiz.de/10005100560
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Markovian Processes, Two-Sided Autoregressions and Finite-Sample Inference for Stationary and Nonstationary Autoregressive Processes
Dufour, Jean-Marie; Torrès, Olivier - Centre Interuniversitaire de Recherche en Analyse des … - 2000
In this paper, we develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models. The method is based on special properties of Markov processes and a split-sample technique. The results on Markovian processes (intercalary independence and truncation) only...
Persistent link: https://www.econbiz.de/10005100872
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Simulation Based Finite and Large Sample Tests in Multivariate Regressions
Dufour, Jean-Marie; Khalaf, Lynda - Centre Interuniversitaire de Recherche en Analyse des … - 2000
In the context of multivariate linear regression (MLR) models, it is well known that commonly employed asymptotic test criteria are seriously biased towards overrejection. In this paper, we propose a generalmethod for constructing exact tests of possible nonlinear hypotheses on the coefficients...
Persistent link: https://www.econbiz.de/10005100889
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