Biometrics, Volume 35Biometric Society, 1979 - Biology Emphasizes the role of statistics and mathematics in the biological sciences. |
Contents
Competition experiments R Mead | 41 |
Multifactorial genetic models for quantitative traits in humans C R Boyle and R C Elston | 55 |
Discriminant analysis P A Lachenbruch and M Goldstein | 69 |
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algorithm analysis animals application approach approximation assumed assumption asymptotic beta-binomial model bias binomial biological Biometrics Biometrika cancer censoring chromosomes classification clinical trials cluster cluster analysis coefficients comparison confidence intervals considered contingency tables correlation covariance curve defined denote density derived developed discriminant discussed disease dose effects equations evaluation example experimental factor frequencies gametes genetic genotype given hazard hypothesis independent individuals Journal karyotyping least squares likelihood function linear log-linear models mathematical matrix maximum likelihood mean measurements method MINQUE multivariate null hypothesis observed obtained P₁ paper parameters patients pattern population probability problem procedure quadratic random variable ratio regression response risk variables Royal Statistical Society sample Section selection significance species standard error stochastic survival Table techniques theory tion treatment values variance variation vector