Inference from grouped continuous data: A review

Daniel F. Heitjan

doi:10.1214/ss/1177012601

Inference from grouped continuous data: A review

Daniel F. Heitjan

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

95 Scopus citations

Abstract

"Grouped" data are defined to be the result of observing continuous variables only up to the nearest interval, rectangle or triangle. This paper traces the development of statistical methods for grouped data, focusing on the major results and their interpretations. It emphasizes the impact of likelihood and Bayesian ideas on the analysis of grouped data, particularly as they influence current work.

Original language	English (US)
Pages (from-to)	164-179
Number of pages	16
Journal	Statistical Science
Volume	4
Issue number	2
DOIs	https://doi.org/10.1214/ss/1177012601
State	Published - May 1989

Keywords

Asymptotic expansion
Heaping
Incomplete data
Interval censoring
Rounding
Sheppard’s corrections

ASJC Scopus subject areas

Statistics and Probability
Mathematics(all)
Statistics, Probability and Uncertainty

Access to Document

10.1214/ss/1177012601

Cite this

@article{929b130fce97437ea3aa120567749a22,

title = "Inference from grouped continuous data: A review",

abstract = "{"}Grouped{"} data are defined to be the result of observing continuous variables only up to the nearest interval, rectangle or triangle. This paper traces the development of statistical methods for grouped data, focusing on the major results and their interpretations. It emphasizes the impact of likelihood and Bayesian ideas on the analysis of grouped data, particularly as they influence current work.",

keywords = "Asymptotic expansion, Heaping, Incomplete data, Interval censoring, Rounding, Sheppard{\textquoteright}s corrections",

author = "Heitjan, {Daniel F.}",

year = "1989",

month = may,

doi = "10.1214/ss/1177012601",

language = "English (US)",

volume = "4",

pages = "164--179",

journal = "Statistical Science",

issn = "0883-4237",

publisher = "Institute of Mathematical Statistics",

number = "2",

}

TY - JOUR

T1 - Inference from grouped continuous data

T2 - A review

AU - Heitjan, Daniel F.

PY - 1989/5

Y1 - 1989/5

N2 - "Grouped" data are defined to be the result of observing continuous variables only up to the nearest interval, rectangle or triangle. This paper traces the development of statistical methods for grouped data, focusing on the major results and their interpretations. It emphasizes the impact of likelihood and Bayesian ideas on the analysis of grouped data, particularly as they influence current work.

AB - "Grouped" data are defined to be the result of observing continuous variables only up to the nearest interval, rectangle or triangle. This paper traces the development of statistical methods for grouped data, focusing on the major results and their interpretations. It emphasizes the impact of likelihood and Bayesian ideas on the analysis of grouped data, particularly as they influence current work.

KW - Asymptotic expansion

KW - Heaping

KW - Incomplete data

KW - Interval censoring

KW - Rounding

KW - Sheppard’s corrections

UR - http://www.scopus.com/inward/record.url?scp=84972545716&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84972545716&partnerID=8YFLogxK

U2 - 10.1214/ss/1177012601

DO - 10.1214/ss/1177012601

M3 - Article

AN - SCOPUS:84972545716

SN - 0883-4237

VL - 4

SP - 164

EP - 179

JO - Statistical Science

JF - Statistical Science

IS - 2

ER -

Inference from grouped continuous data: A review

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this