Sampling large tables with constraints

Ian H. Dinwoodie; Yuguo Chen

doi:10.5705/ss.2008.078

Sampling large tables with constraints

Ian H. Dinwoodie, Yuguo Chen

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

Abstract

We describe a new sequential sampling method for constrained multi-way tables, with foundations in linear programming and sequential normal sampling. The method builds on techniques from other sequential algorithms in a way that scales well and can handle more challenging data sets. We apply the new algorithm to data to demonstrate its efficiency.

Original language	English (US)
Pages (from-to)	1591-1609
Number of pages	19
Journal	Statistica Sinica
Volume	21
Issue number	4
DOIs	https://doi.org/10.5705/ss.2008.078
State	Published - Oct 2011

Keywords

Conditional inference
Contingency table
Exact test
Hypergeometric distribution
Importance sampling
Multivariate normal distribution
Sequential sampling

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

Online availability

10.5705/ss.2008.078

Library availability

Discover UIUC Full Text

Cite this

@article{bb7f66c74af7430a99aa6db2aeecf024,

title = "Sampling large tables with constraints",

abstract = "We describe a new sequential sampling method for constrained multi-way tables, with foundations in linear programming and sequential normal sampling. The method builds on techniques from other sequential algorithms in a way that scales well and can handle more challenging data sets. We apply the new algorithm to data to demonstrate its efficiency.",

keywords = "Conditional inference, Contingency table, Exact test, Hypergeometric distribution, Importance sampling, Multivariate normal distribution, Sequential sampling",

author = "Dinwoodie, {Ian H.} and Yuguo Chen",

year = "2011",

month = oct,

doi = "10.5705/ss.2008.078",

language = "English (US)",

volume = "21",

pages = "1591--1609",

journal = "Statistica Sinica",

issn = "1017-0405",

publisher = "Institute of Statistical Science",

number = "4",

}

TY - JOUR

T1 - Sampling large tables with constraints

AU - Dinwoodie, Ian H.

AU - Chen, Yuguo

PY - 2011/10

Y1 - 2011/10

N2 - We describe a new sequential sampling method for constrained multi-way tables, with foundations in linear programming and sequential normal sampling. The method builds on techniques from other sequential algorithms in a way that scales well and can handle more challenging data sets. We apply the new algorithm to data to demonstrate its efficiency.

AB - We describe a new sequential sampling method for constrained multi-way tables, with foundations in linear programming and sequential normal sampling. The method builds on techniques from other sequential algorithms in a way that scales well and can handle more challenging data sets. We apply the new algorithm to data to demonstrate its efficiency.

KW - Conditional inference

KW - Contingency table

KW - Exact test

KW - Hypergeometric distribution

KW - Importance sampling

KW - Multivariate normal distribution

KW - Sequential sampling

UR - http://www.scopus.com/inward/record.url?scp=84863338133&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863338133&partnerID=8YFLogxK

U2 - 10.5705/ss.2008.078

DO - 10.5705/ss.2008.078

M3 - Article

AN - SCOPUS:84863338133

SN - 1017-0405

VL - 21

SP - 1591

EP - 1609

JO - Statistica Sinica

JF - Statistica Sinica

IS - 4

ER -

Sampling large tables with constraints

Abstract

Keywords

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this