|
|
|
|
| LEADER |
01000caa a22002652 4500 |
| 001 |
JST05262837X |
| 003 |
DE-627 |
| 005 |
20240621210138.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
240126s1984 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.2307/2981580
|2 doi
|
| 035 |
|
|
|a (DE-627)JST05262837X
|
| 035 |
|
|
|a (JST)2981580
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Xekalaki, Evdokia
|e verfasserin
|4 aut
|
| 245 |
1 |
4 |
|a The Bivariate Generalized Waring Distribution and its Application to Accident Theory
|
| 264 |
|
1 |
|c 1984
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
| 520 |
|
|
|a The univariate generalized Waring distribution was shown by Irwin (1968, 1975) to provide a useful accident model which enables one to split the variance into three additive components due to randomness, proneness and liability. The two non-random variance components, however, cannot be separately estimated. In this paper a way of tackling this problem is suggested by defining a bivariate extension of the generalized Waring distribution. Using this it is possible to obtain distinguishable estimates for the variance components and hence inferences can be made about the role of the underlying accident factors. The technique is illustrated by two examples.
|
| 540 |
|
|
|a Copyright 1984 Royal Statistical Society
|
| 650 |
|
4 |
|a Bivariate Generalized Waring Distribution
|
| 650 |
|
4 |
|a Accident Theory
|
| 650 |
|
4 |
|a Proneness
|
| 650 |
|
4 |
|a Liability: Waring's Expansion
|
| 650 |
|
4 |
|a Behavioral sciences
|x Sociology
|x Human societies
|x Public safety
|x Accidents
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Measures of variability
|x Statistical variance
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Inferential statistics
|x Statistical estimation
|x Estimation methods
|x Estimators
|
| 650 |
|
4 |
|a Mathematics
|
| 650 |
|
4 |
|a Behavioral sciences
|x Sociology
|x Human societies
|x Public safety
|x Accidents
|x Traffic accidents
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Inferential statistics
|x Statistical estimation
|x Estimation methods
|
| 650 |
|
4 |
|a Economics
|x Economic disciplines
|x Labor economics
|x Employment
|x Occupations
|x Technical personnel
|x Transport workers
|x Bus drivers
|
| 650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Discrete mathematics
|x Combinatorics
|x Combinatorial analysis
|x Factorials
|
| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical results
|x Errors in statistics
|x Standard error
|
| 650 |
|
4 |
|a Applied sciences
|x Engineering
|x Transportation
|x Transportation engineering
|x Traffic engineering
|x Traffic estimation
|
| 655 |
|
4 |
|a research-article
|
| 773 |
0 |
8 |
|i Enthalten in
|t Journal of the Royal Statistical Society. Series A (General)
|d Royal Statistical Society, 1948
|g 147(1984), 3, Seite 488-498
|w (DE-627)1853780618
|w (DE-600)3163510-6
|x 00359238
|7 nnns
|
| 773 |
1 |
8 |
|g volume:147
|g year:1984
|g number:3
|g pages:488-498
|
| 856 |
4 |
0 |
|u https://www.jstor.org/stable/2981580
|3 Volltext
|
| 856 |
4 |
0 |
|u https://doi.org/10.2307/2981580
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_JST
|
| 912 |
|
|
|a GBV_ILN_11
|
| 912 |
|
|
|a GBV_ILN_20
|
| 912 |
|
|
|a GBV_ILN_22
|
| 912 |
|
|
|a GBV_ILN_24
|
| 912 |
|
|
|a GBV_ILN_31
|
| 912 |
|
|
|a GBV_ILN_39
|
| 912 |
|
|
|a GBV_ILN_40
|
| 912 |
|
|
|a GBV_ILN_60
|
| 912 |
|
|
|a GBV_ILN_62
|
| 912 |
|
|
|a GBV_ILN_63
|
| 912 |
|
|
|a GBV_ILN_65
|
| 912 |
|
|
|a GBV_ILN_69
|
| 912 |
|
|
|a GBV_ILN_70
|
| 912 |
|
|
|a GBV_ILN_90
|
| 912 |
|
|
|a GBV_ILN_100
|
| 912 |
|
|
|a GBV_ILN_101
|
| 912 |
|
|
|a GBV_ILN_110
|
| 912 |
|
|
|a GBV_ILN_285
|
| 912 |
|
|
|a GBV_ILN_702
|
| 912 |
|
|
|a GBV_ILN_2001
|
| 912 |
|
|
|a GBV_ILN_2003
|
| 912 |
|
|
|a GBV_ILN_2005
|
| 912 |
|
|
|a GBV_ILN_2006
|
| 912 |
|
|
|a GBV_ILN_2007
|
| 912 |
|
|
|a GBV_ILN_2008
|
| 912 |
|
|
|a GBV_ILN_2009
|
| 912 |
|
|
|a GBV_ILN_2010
|
| 912 |
|
|
|a GBV_ILN_2011
|
| 912 |
|
|
|a GBV_ILN_2014
|
| 912 |
|
|
|a GBV_ILN_2015
|
| 912 |
|
|
|a GBV_ILN_2018
|
| 912 |
|
|
|a GBV_ILN_2020
|
| 912 |
|
|
|a GBV_ILN_2021
|
| 912 |
|
|
|a GBV_ILN_2026
|
| 912 |
|
|
|a GBV_ILN_2027
|
| 912 |
|
|
|a GBV_ILN_2044
|
| 912 |
|
|
|a GBV_ILN_2050
|
| 912 |
|
|
|a GBV_ILN_2056
|
| 912 |
|
|
|a GBV_ILN_2057
|
| 912 |
|
|
|a GBV_ILN_2061
|
| 912 |
|
|
|a GBV_ILN_2088
|
| 912 |
|
|
|a GBV_ILN_2107
|
| 912 |
|
|
|a GBV_ILN_2110
|
| 912 |
|
|
|a GBV_ILN_2111
|
| 912 |
|
|
|a GBV_ILN_2190
|
| 912 |
|
|
|a GBV_ILN_2932
|
| 912 |
|
|
|a GBV_ILN_2947
|
| 912 |
|
|
|a GBV_ILN_2949
|
| 912 |
|
|
|a GBV_ILN_2950
|
| 912 |
|
|
|a GBV_ILN_4012
|
| 912 |
|
|
|a GBV_ILN_4035
|
| 912 |
|
|
|a GBV_ILN_4037
|
| 912 |
|
|
|a GBV_ILN_4046
|
| 912 |
|
|
|a GBV_ILN_4112
|
| 912 |
|
|
|a GBV_ILN_4126
|
| 912 |
|
|
|a GBV_ILN_4242
|
| 912 |
|
|
|a GBV_ILN_4251
|
| 912 |
|
|
|a GBV_ILN_4305
|
| 912 |
|
|
|a GBV_ILN_4306
|
| 912 |
|
|
|a GBV_ILN_4307
|
| 912 |
|
|
|a GBV_ILN_4313
|
| 912 |
|
|
|a GBV_ILN_4322
|
| 912 |
|
|
|a GBV_ILN_4323
|
| 912 |
|
|
|a GBV_ILN_4324
|
| 912 |
|
|
|a GBV_ILN_4325
|
| 912 |
|
|
|a GBV_ILN_4335
|
| 912 |
|
|
|a GBV_ILN_4346
|
| 912 |
|
|
|a GBV_ILN_4393
|
| 912 |
|
|
|a GBV_ILN_4700
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 147
|j 1984
|e 3
|h 488-498
|