Survey sampling and multivariate analysis for social scientists and engineers

Survey sampling and multivariate analysis for social scientists and engineers. Review of data needs and sources of error; Design of sampling procedures; Population estimates and sampling errors; Efficiency; Survey procedures; Bivariate regression; Multivariate regression; Simultaneous equations; Canonical correlation; Rudiments of factor analysis; Introduction to discriminant analysis; Maximum-likelihood estimation; Probit analysis; Logit analysis; The correlation; Ratio.