A review of some basic concepts; Elements of the sampling problem; Simple random sampling; Stratified random sampling; Ratio, regression, and difference estimation; Systematic sampling; Cluster sampling; Two-stage cluster sampling; Estimating the population size; Supplemental to…
by Meilgaard, Morten, Civille, Gail Vance, Carr, B. Thomas
Introduction to and survey of parameter estimation; Probability; Introduction to statistics; Parameter estimation methods; Introduction to linear estimation; Matrix analysis for linear parameter estimation; Minimization of sum of squares functions for models nonlinear in paramet…
This revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests of statistical hypotheses about multivariate data. Both classification and modern regression methods (GLM, GAM, loess) are reviewed and species …
"Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of 'Applied Regression Analysis and Generalized Linear Models' provides in-depth coverage of regression analysis, generalized linear models, and closely related …
This text emphasizes intuitive understanding rather than an over-reliance on formulas. The focus is on data and graphical displays rather than the mathematical foundations of statistics, and students do not need knowledge of mathematics beyond simple algebra.
