Data driven smooth test for paired populations

B. Ghattas; D. Pommeret; L. Reboul; A. F. Yao

doi:10.1016/j.jspi.2010.06.007

Data driven smooth test for paired populations

B. Ghattas, D. Pommeret, L. Reboul, A. F. Yao

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper we propose a smooth test of comparison of two distribution functions. This test adapts to the classical two-sample problem as well as that of paired populations, including discrete distributions. A simulation study and an application to real data show its good performances.

Original language	English
Pages (from-to)	262-275
Number of pages	14
Journal	Journal of Statistical Planning and Inference
Volume	141
Issue number	1
DOIs	https://doi.org/10.1016/j.jspi.2010.06.007
Publication status	Published - 1 Jan 2011
Externally published	Yes

Keywords

Copulas
Paired sample
Schwarz's rule
Score statistic
Smooth test

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10.1016/j.jspi.2010.06.007

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title = "Data driven smooth test for paired populations",

abstract = "In this paper we propose a smooth test of comparison of two distribution functions. This test adapts to the classical two-sample problem as well as that of paired populations, including discrete distributions. A simulation study and an application to real data show its good performances.",

keywords = "Copulas, Paired sample, Schwarz's rule, Score statistic, Smooth test",

author = "B. Ghattas and D. Pommeret and L. Reboul and Yao, \{A. F.\}",

year = "2011",

month = jan,

day = "1",

doi = "10.1016/j.jspi.2010.06.007",

language = "English",

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journal = "Journal of Statistical Planning and Inference",

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AU - Ghattas, B.

AU - Pommeret, D.

AU - Reboul, L.

AU - Yao, A. F.

PY - 2011/1/1

Y1 - 2011/1/1

N2 - In this paper we propose a smooth test of comparison of two distribution functions. This test adapts to the classical two-sample problem as well as that of paired populations, including discrete distributions. A simulation study and an application to real data show its good performances.

AB - In this paper we propose a smooth test of comparison of two distribution functions. This test adapts to the classical two-sample problem as well as that of paired populations, including discrete distributions. A simulation study and an application to real data show its good performances.

KW - Copulas

KW - Paired sample

KW - Schwarz's rule

KW - Score statistic

KW - Smooth test

U2 - 10.1016/j.jspi.2010.06.007

DO - 10.1016/j.jspi.2010.06.007

M3 - Article

AN - SCOPUS:77956270969

SN - 0378-3758

VL - 141

SP - 262

EP - 275

JO - Journal of Statistical Planning and Inference

JF - Journal of Statistical Planning and Inference

IS - 1

ER -

Data driven smooth test for paired populations

Abstract

Keywords

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