Search Results - subject:"Null hypothesis"

Approximate Bayesian computation with modified log-likelihood ratios

Ventura, Laura; Reid, Nancy - In: METRON 72 (2014) 2, pp. 231-245

The aim of this contribution is to discuss approximate Bayesian computation based on the asymptotic theory of modified likelihood roots and log-likelihood ratios. Results on third-order approximations for univariate posterior distributions, also in the presence of nuisance parameters, are...

Persistent link: https://www.econbiz.de/10011000645

A new Bayesian procedure for testing point null hypotheses

Yin, Yuliang - In: Computational Statistics 27 (2012) 2, pp. 237-249

Persistent link: https://www.econbiz.de/10010847945

Institutionalized dualism: statistical significance testing as myth and ceremony

Orlitzky, Marc - In: Metrika 22 (2011) 1, pp. 47-77

. Yet, in-depth discussion of null hypothesis significance testing (NHST) has largely been absent from the literature on …

Persistent link: https://www.econbiz.de/10010938233

The decomposition of Greek real GDP (1858–1938)

Dadakas, Dimitrios; Varelas, Erotokritos - In: International Review of Economics 56 (2009) 2, pp. 189-202

Persistent link: https://www.econbiz.de/10004965793

Multiple Testing. Part I. Single-Step Procedures for Control of General Type I Error Rates

Dudoit, Sandrine; Laan, Mark van der; Pollard, Katherine - In: Statistical Applications in Genetics and Molecular Biology 3 (2009) 1, pp. 13-13

The present article proposes general single-step multiple testing procedures for controlling Type I error rates defined as arbitrary parameters of the distribution of the number of Type I errors, such as the generalized family-wise error rate. A key feature of our approach is the test statistics...

Persistent link: https://www.econbiz.de/10005046568

Multiple Testing. Part II. Step-Down Procedures for Control of the Family-Wise Error Rate

Laan, Mark van der; Dudoit, Sandrine; Pollard, Katherine - In: Statistical Applications in Genetics and Molecular Biology 3 (2009) 1, pp. 14-14

The present article proposes two step-down multiple testing procedures for asymptotic control of the family-wise error rate (FWER): the first procedure is based on maxima of test statistics (step-down maxT), while the second relies on minima of unadjusted p-values (step-down minP). A key feature...

Persistent link: https://www.econbiz.de/10005046575

Size distortions of tests of the null hypothesis of stationarity: Evidence and implications for applied work

Caner, Mehmet; Kilian, Lutz - 1999

It is common in applied econometrics to test the null hypothesis of a level-stationary process against the alternative … the recent float. Size distortions of tests of the unit root null hypothesis may be overcome by the use of finite …-sample or bootstrap critical values. We show that such corrections are not possible for tests of the null hypothesis of …

Persistent link: https://www.econbiz.de/10010301181

Size distortions of tests of the null hypothesis of stationarity : evidence and implications for applied work

Caner, Mehmet; Kilian, Lutz - 1999 - First Draft: March 1998, This Version: May 1, 1999

Persistent link: https://www.econbiz.de/10010516947

Size distortions of tests of the null hypothesis of stationarity: Evidence and implications for applied work

Caner, Mehmet; Kilian, Lutz - Zentrum für Europäische Integrationsforschung (ZEI), … - 1999

Persistent link: https://www.econbiz.de/10008614735

Multiple Testing. Part II. Step-Down Procedures for Control of the Family-Wise Error Rate

Laan, Mark van der; Dudoit, Sandrine; Pollard, Katherine - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 14-14

Persistent link: https://www.econbiz.de/10005246511