Miscellanea Probabilistic Model for Two Dependent Circular Variables

Demchuk, Eugene; Hnizdo, Vladimir; Singh H

i

Miscellanea Probabilistic Model for Two Dependent Circular Variables

Public Domain

2002/08/01
By Demchuk, Eugene ; Hnizdo, Vladimir ; Singh H

Details

Personal Author:

Demchuk, Eugene ; Hnizdo, Vladimir ; Singh H
Description:

Motivated by problems in molecular biology and molecular physics, we propose a five-parameter torus analogue of the bivariate normal distribution for modelling the distribution of two circular random variables. The conditional distributions of the proposed distribution are von Mises. The marginal distributions are symmetric around their means and are either unimodal or bimodal. The type of shape depends on the configuration of parameters, and we derive the conditions that ensure a specific shape. The utility of the proposed distribution is illustrated by the modelling of angular variables in a short linear peptide. [Description provided by NIOSH]
Subjects:

Occupational Health Safety
Keywords:

Biostatistics Data-processing Models Statistical-analysis Statistical-quality-control
ISSN:

0006-3444
Document Type:

Text
Genre:

Journal Article
Place as Subject:

OSHA Region 3 ; West Virginia
CIO:

National Institute for Occupational Safety and Health (NIOSH)
Division:

HELD - Health Effects Laboratory Division
Topic:

Workplace Safety & Health
Location:

North America
Volume:

89
Issue:

3
NIOSHTIC Number:

nn:20022894
Citation:

Biometrika 2002 Aug; 89(3):719-723
Contact Point Address:

Department of Statistics, West Virginia University, Morgantown, West Virginia 26506-6330, U.S.A.
Email:

hsingh@stat.wvu.edu
Federal Fiscal Year:

2002
Performing Organization:

Department of Statistics, West Virginia University, Morgantown, WV
Peer Reviewed:

False
Source Full Name:

Biometrika
Collection(s):

National Institute for Occupational Safety and Health
Main Document Checksum:

urn:sha-512:1373688773aa68be9e421b6368f8d40387b4cf0c03be463ee9d6a12ef3865446d1ca4acc22de240ba56ef81d7c68642ae6dea7a2352157fae3c60296fbbfea4e
Download URL:

https://stacks.cdc.gov/view/cdc/199517/cdc_199517_DS1.pdf
File Type:

[PDF - 113.51 KB ]

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