The reduction and ancillary classification of observations

E.E.M. Berkum, van; H.N. Linssen; D.A. Overdijk

doi:10.1016/0378-3758(94)00088-D

The reduction and ancillary classification of observations

E.E.M. Berkum, van, H.N. Linssen, D.A. Overdijk

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

3 Citations (Scopus)

2 Downloads (Pure)

Abstract

Generalized definitions of the invariance, (partial) sufficiency and ancillarity principles are given in a measure-theoretic context. Data reduction in statistical inference is described in terms of these principles.

Original language	English
Pages (from-to)	347-372
Number of pages	26
Journal	Journal of Statistical Planning and Inference
Volume	45
Issue number	3
DOIs	https://doi.org/10.1016/0378-3758(94)00088-D
Publication status	Published - 1995

Access to Document

10.1016/0378-3758(94)00088-D

Cite this

@article{6bdcc02b16a74f70acf6bf48ca16bd39,

title = "The reduction and ancillary classification of observations",

abstract = "Generalized definitions of the invariance, (partial) sufficiency and ancillarity principles are given in a measure-theoretic context. Data reduction in statistical inference is described in terms of these principles.",

author = "{Berkum, van}, E.E.M. and H.N. Linssen and D.A. Overdijk",

year = "1995",

doi = "10.1016/0378-3758(94)00088-D",

language = "English",

volume = "45",

pages = "347--372",

journal = "Journal of Statistical Planning and Inference",

issn = "0378-3758",

publisher = "Elsevier B.V.",

number = "3",

}

TY - JOUR

T1 - The reduction and ancillary classification of observations

AU - Berkum, van, E.E.M.

AU - Linssen, H.N.

AU - Overdijk, D.A.

PY - 1995

Y1 - 1995

N2 - Generalized definitions of the invariance, (partial) sufficiency and ancillarity principles are given in a measure-theoretic context. Data reduction in statistical inference is described in terms of these principles.

AB - Generalized definitions of the invariance, (partial) sufficiency and ancillarity principles are given in a measure-theoretic context. Data reduction in statistical inference is described in terms of these principles.

U2 - 10.1016/0378-3758(94)00088-D

DO - 10.1016/0378-3758(94)00088-D

M3 - Article

SN - 0378-3758

VL - 45

SP - 347

EP - 372

JO - Journal of Statistical Planning and Inference

JF - Journal of Statistical Planning and Inference

IS - 3

ER -

The reduction and ancillary classification of observations

Abstract

Access to Document

Fingerprint

Cite this