Smallest-space analysis vs. the method of principal components: Another look at Ahamad's analysis of crimes

Adi Raveh; Simha F. Landau

doi:10.1007/BF01066531

Smallest-space analysis vs. the method of principal components: Another look at Ahamad's analysis of crimes

Adi Raveh^*
, Simha F. Landau

^*Corresponding author for this work

Institute of Criminology

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

1 Scopus citations

Abstract

This paper presents a reanalysis of the Ahamad case study of 18 types of offenses. The suggested method is a nonmetric multidimensional scaling type called smallest-space analysis (SSA-I) which uncovers findings that were not expressed explicitly by the principal-components method used by Ahamad.

Original language	English
Pages (from-to)	279-291
Number of pages	13
Journal	Journal of Quantitative Criminology
Volume	2
Issue number	3
DOIs	https://doi.org/10.1007/BF01066531
State	Published - Sep 1986

Keywords

crimes
multidimensional scaling
principal-components analysis (PCA)
smallest-space analysis (SSA-I)

Access to Document

10.1007/BF01066531

Cite this

@article{143f803f41d44855b144a0d55a97ddf0,

title = "Smallest-space analysis vs. the method of principal components: Another look at Ahamad's analysis of crimes",

abstract = "This paper presents a reanalysis of the Ahamad case study of 18 types of offenses. The suggested method is a nonmetric multidimensional scaling type called smallest-space analysis (SSA-I) which uncovers findings that were not expressed explicitly by the principal-components method used by Ahamad.",

keywords = "crimes, multidimensional scaling, principal-components analysis (PCA), smallest-space analysis (SSA-I)",

author = "Adi Raveh and Landau, \{Simha F.\}",

year = "1986",

month = sep,

doi = "10.1007/BF01066531",

language = "אנגלית",

volume = "2",

pages = "279--291",

journal = "Journal of Quantitative Criminology",

issn = "0748-4518",

publisher = "Springer New York",

number = "3",

}

TY - JOUR

T1 - Smallest-space analysis vs. the method of principal components

T2 - Another look at Ahamad's analysis of crimes

AU - Raveh, Adi

AU - Landau, Simha F.

PY - 1986/9

Y1 - 1986/9

N2 - This paper presents a reanalysis of the Ahamad case study of 18 types of offenses. The suggested method is a nonmetric multidimensional scaling type called smallest-space analysis (SSA-I) which uncovers findings that were not expressed explicitly by the principal-components method used by Ahamad.

AB - This paper presents a reanalysis of the Ahamad case study of 18 types of offenses. The suggested method is a nonmetric multidimensional scaling type called smallest-space analysis (SSA-I) which uncovers findings that were not expressed explicitly by the principal-components method used by Ahamad.

KW - crimes

KW - multidimensional scaling

KW - principal-components analysis (PCA)

KW - smallest-space analysis (SSA-I)

UR - https://www.scopus.com/pages/publications/34247836795

U2 - 10.1007/BF01066531

DO - 10.1007/BF01066531

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???

AN - SCOPUS:34247836795

SN - 0748-4518

VL - 2

SP - 279

EP - 291

JO - Journal of Quantitative Criminology

JF - Journal of Quantitative Criminology

IS - 3

ER -

Smallest-space analysis vs. the method of principal components: Another look at Ahamad's analysis of crimes

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this