![]() |
![]() |
Your cart is empty |
||
Showing 1 - 2 of 2 matches in All Departments
The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Probability & Statistics, Fourth Edition, was written for a one- or two-semester probability and statistics course. This course is offered primarily at four-year institutions and taken mostly by sophomore and junior level students majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.
|
![]() ![]() You may like...
Numbers, Hypotheses & Conclusions - A…
Colin Tredoux, Kevin Durrheim
Paperback
Biostatistics for the Biological and…
Mario Triola, Marc Triola, …
Paperback
Hykie Berg: My Storie van Hoop
Hykie Berg, Marissa Coetzee
Paperback
A Treatise on Induction and Probability
Georg Henrik von Wright
Paperback
R1,689
Discovery Miles 16 890
|