In the presence of large sample sizes hypotheses testing procedures often lead to excessive rates of rejection. This is mainly due to the precise null hypothesis formulation usually adopted in statistical packages. We address the fundamental issues of deciding whether commonly reported outputs are misleading and, if this is the case, how to adjust them through suitable calibration procedures. Such procedures are designed to handle different levels of information available on the relevant characteristics of the various applicative contexts.

Migliorati, S., Ongaro, A. (2007). Standard packages outputs when n is large: when and how should they be adjusted?. In ASMDA 2007 PROCEEDINGS.

Standard packages outputs when n is large: when and how should they be adjusted?

MIGLIORATI, SONIA;ONGARO, ANDREA
2007

Abstract

In the presence of large sample sizes hypotheses testing procedures often lead to excessive rates of rejection. This is mainly due to the precise null hypothesis formulation usually adopted in statistical packages. We address the fundamental issues of deciding whether commonly reported outputs are misleading and, if this is the case, how to adjust them through suitable calibration procedures. Such procedures are designed to handle different levels of information available on the relevant characteristics of the various applicative contexts.
paper
Precise null hypotheses, p-value, calibration, large sample size
English
Applied stochastic models and data analysis
http://www.asmda.com/CDasmda2007a/conf_papers.html
Migliorati, S., Ongaro, A. (2007). Standard packages outputs when n is large: when and how should they be adjusted?. In ASMDA 2007 PROCEEDINGS.
Migliorati, S; Ongaro, A
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/2752
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
Social impact