This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before being expanded to nonlinear models; statistical multi-decision problems like statistical selection procedures (Bechhofer and Gupta) and sequential tests; and design of experiments from a mathematical-statistical point of view. Most analysis methods have been supplemented by formulae for minimal sample sizes. The chapters also contain exercises with hints for solutions.
Mathematical Statistics PDF Free Download
October 25, 2022
You may also like
The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular...
In their bestselling title MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a...
We don’t have to tell you how tough SAT Math is or how helpful a stellar exam score can be for your chances of getting into your top-choice college...
Recent Posts
- Nuclear Physics Exploring the Heart of Matter PDF
- Applied Physics Crash Course by Arthur Beiser PDF
- Variational Principles in Physics by Jean-Louis Basdevant PDF
- Analytical Chemistry by Dhruba Charan Dash PDF
- Handbook of Modern Sensors Physics, Designs, and Applications 3rd Edition by Jacob Fraden PDF
Add Comment