The Analysis of Bounded Count Data in Criminology

Criminological research utilizes several types of delinquency scales, including frequency counts and, increasingly, variety scores. The latter counts the number of distinct types of crimes an individual has committed. Often, variety scores are modeled via count regression techniques (e.g., Poisson,...

Full description

Saved in:  
Bibliographic Details
Main Author: Britt, Chester L. (Author)
Contributors: Rocque, Michael ; Zimmerman, Gregory M.
Format: Electronic Article
Language:English
Published: 2018
In: Journal of quantitative criminology
Year: 2018, Volume: 34, Issue: 2, Pages: 591-607
Online Access: Volltext (Resolving-System)
Journals Online & Print:
Drawer...
Check availability: HBZ Gateway
Keywords:

MARC

LEADER 00000naa a22000002 4500
001 1688913319
003 DE-627
005 20200130094147.0
007 cr uuu---uuuuu
008 200130s2018 xx |||||o 00| ||eng c
024 7 |a 10.1007/s10940-017-9346-9  |2 doi 
035 |a (DE-627)1688913319 
035 |a (DE-599)KXP1688913319 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
100 1 |a Britt, Chester L.  |d -2016  |e VerfasserIn  |0 (DE-588)17129873X  |0 (DE-627)061485381  |0 (DE-576)167891634  |4 aut 
109 |a Britt, Chester L. -2016  |a Britt, Chester -2016 
245 1 4 |a The Analysis of Bounded Count Data in Criminology  |c Chester L. Britt, Michael Rocque, Gregory M. Zimmerman 
264 1 |c 2018 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
520 |a Criminological research utilizes several types of delinquency scales, including frequency counts and, increasingly, variety scores. The latter counts the number of distinct types of crimes an individual has committed. Often, variety scores are modeled via count regression techniques (e.g., Poisson, negative binomial), which are best suited to the analysis of unbounded count data. Variety scores, however, are inherently bounded. 
650 4 |a Negative binomial regression 
650 4 |a Poisson regression 
650 4 |a Count data 
650 4 |a Variety scores 
650 4 |a Binomial regression 
700 1 |a Rocque, Michael  |e VerfasserIn  |0 (DE-588)1115209809  |0 (DE-627)869512390  |0 (DE-576)381797961  |4 aut 
700 1 |a Zimmerman, Gregory M.  |e VerfasserIn  |0 (DE-588)1139123556  |0 (DE-627)896783502  |0 (DE-576)357462173  |4 aut 
773 0 8 |i Enthalten in  |t Journal of quantitative criminology  |d Getzville, NY : HeinOnline, 1985  |g 34(2018), 2, Seite 591-607  |h Online-Ressource  |w (DE-627)320578003  |w (DE-600)2017241-2  |w (DE-576)104082321  |x 1573-7799  |7 nnns 
773 1 8 |g volume:34  |g year:2018  |g number:2  |g pages:591-607 
856 4 0 |u http://dx.doi.org/10.1007/s10940-017-9346-9  |x Resolving-System  |3 Volltext 
935 |a mkri 
936 u w |d 34  |j 2018  |e 2  |h 591-607 
951 |a AR 
ELC |a 1 
LOK |0 000 xxxxxcx a22 zn 4500 
LOK |0 001 3583385330 
LOK |0 003 DE-627 
LOK |0 004 1688913319 
LOK |0 005 20200130094147 
LOK |0 008 200130||||||||||||||||ger||||||| 
LOK |0 040   |a DE-21-110  |c DE-627  |d DE-21-110 
LOK |0 092   |o n 
LOK |0 689   |a s  |a Binomial regression 
LOK |0 689   |a s  |a Count data 
LOK |0 689   |a s  |a Variety scores 
LOK |0 689   |a s  |a Poisson regression 
LOK |0 852   |a DE-21-110 
LOK |0 852 1  |9 00 
LOK |0 935   |a krub  |a krzo 
LOK |0 000 xxxxxcx a22 zn 4500 
LOK |0 001 3957448891 
LOK |0 003 DE-627 
LOK |0 004 1688913319 
LOK |0 005 20210725061641 
LOK |0 008 210725||||||||||||||||ger||||||| 
LOK |0 035   |a (DE-2619)KrimDok#2021-07-24#ED9F5CCA78F5246190778CB56E873073D849F0D9 
LOK |0 040   |a DE-2619  |c DE-627  |d DE-2619 
LOK |0 092   |o n 
LOK |0 852   |a DE-2619 
LOK |0 852 1  |9 00 
LOK |0 935   |a zota 
ORI |a SA-MARC-krimdoka001.raw