Mathematical Models for Describing the Clustering of Sociopathy and Hysteria in Families

1977 ◽  
Vol 130 (3) ◽  
pp. 294-297 ◽  
Author(s):  
T. P. Hutchinson ◽  
S. P. Satterthwaite
Keyword(s):  
Mathematical Models ◽  
Disease Transmission ◽  
Normal Model ◽  
Multifactorial Model ◽  
Bivariate Normal ◽  
Bivariate Normal Model ◽  
Familial Clustering

SummaryThe fitting of the multifactorial model of disease transmission to the familial clustering of hysteria and sociopathy by Cloninger et al (1) involved an approximation. This note reports the results of fitting the bivariate Normal model exactly and also two other distributions.

Bivariate Normal Model: A Classroom Project

1983 ◽  
Vol 5 (1) ◽  
pp. 24-28
Author(s):  
M. W. MAXFIELD ◽  
B. C. LYON
Keyword(s):  
Normal Model ◽  
Bivariate Normal ◽  
Bivariate Normal Model ◽  
Classroom Project

A Logistic-Bivariate Normal Model for Overdispersed Two-State Markov Processes

Biometrics ◽  
1997 ◽  
Vol 53 (1) ◽  
pp. 358 ◽  
Author(s):  
Richard J. Cook ◽  
Edmund T. M. Ng
Keyword(s):  
Markov Processes ◽  
Normal Model ◽  
Bivariate Normal ◽  
Bivariate Normal Model

scholarly journals Objective priors for the bivariate normal model

2008 ◽  
Vol 36 (2) ◽  
pp. 963-982 ◽  
Author(s):  
James O. Berger ◽  
Dongchu Sun
Keyword(s):  
Normal Model ◽  
Bivariate Normal ◽  
Bivariate Normal Model

Asymptotic properties of Pearson׳s rank-variate correlation coefficient in bivariate normal model

2016 ◽  
Vol 119 ◽  
pp. 190-202 ◽  
Author(s):  
Weichao Xu ◽  
Rubao Ma ◽  
Yanzhou Zhou ◽  
Shiguo Peng ◽  
Yunhe Hou
Keyword(s):  
Correlation Coefficient ◽  
Asymptotic Properties ◽  
Normal Model ◽  
Bivariate Normal ◽  
Bivariate Normal Model

Analysis of size-grouped potato yield data using a bivariate normal distribution of tuber size and weight

1993 ◽  
Vol 121 (2) ◽  
pp. 193-198
Author(s):  
J. E. Hall ◽  
C. A. Glasbey
Keyword(s):  
Field Experiment ◽  
Joint Distribution ◽  
Bivariate Normal Distribution ◽  
Potato Yield ◽  
Tuber Size ◽  
Normal Model ◽  
Yield Data ◽  
Bivariate Normal ◽  
Bivariate Normal Model ◽  
Using Data

SUMMARYA bivariate normal model is proposed for the joint distribution of potato tuber size and weight. Parameters in the model are estimated from the yields and numbers of tubers in a range of riddle-size categories. The method is illustrated using data from a field experiment; parameters are estimated for each plot, and subjected to analysis of variance. The result is a more succinct summary of treatment effects than that produced in the traditional analysis, where data from each riddle size are analysed separately.

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