Mathematica Laboratories for Mathematical Statistics
Emphasizing Simulation and Computer Intensive Methods
with CD-ROM
$103.00 (X)
Part of ASA-SIAM Series on Statistics and Applied Probability
- Author: Jenny A. Baglivo, Boston College, Massachusetts
- Date Published: November 2004
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
- format: Mixed media product
- isbn: 9780898715668
$
103.00
(X)
Mixed media product
Looking for an examination copy?
This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.
-
Integrating computers into mathematical statistics courses allows students to simulate experiments and visualize their results, handle larger data sets, analyze data more quickly, and compare the results of classical methods of data analysis with those using alternative techniques. This text presents a concise introduction to the concepts of probability theory and mathematical statistics. The accompanying in-class and take-home computer laboratory activities reinforce the techniques introduced in the text and are accessible to students with little or no experience with Mathematica. These laboratory materials present applications in a variety of real-world settings, with data from epidemiology, environmental sciences, medicine, social sciences, physical sciences, manufacturing, engineering, marketing, and sports. Included in the book are parametric, nonparametric, permutation, bootstrap and diagnostic methods. Permutation and bootstrap methods are discussed side by side with classical methods in the later chapters. Includes a CD-ROM with 238 laboratory problems written as Mathematica notebooks.
Read more- Written with both the instructor and the student in mind, with a similar order of topics and level of presentation to other mathematical statistics books, and thus easily incorporated in the classroom
- Accompanying student CD of laboratory activities, written as Mathematica notebooks, containing text, data, computations, and graphics
- Over half of the 238 laboratory problems use real-world data, many from recent research reports or on-going research
Reviews & endorsements
'Jenny Baglivo's book and its Mathematica labs now make it easy to teach a modern course that better prepares students for contemporary statistical thinking and practice. That alone would be a major contribution to statistics education, but this book offers more: it is thoughtfully organized and unusually well-crafted. For example, theorems are given helpful descriptive names, and are often presented in ways that highlight parallel structure and make the big picture easier to see.' George W. Cobb, Mount Holyoke College
See more reviews'I particularly value that the emphasis of the labs is on the statistical concepts and not on programming in Mathematica. The Mathematica tools and needed commands are carefully developed so that students with a minimal knowledge of the Mathematica environment can focus on the ideas while those who have more experience with Mathematica can utilize its power. This text is an important addition to materials for the post-calculus probability and statistics courses.' Adele Marie Rothan, College of St. Catherine
Customer reviews
Not yet reviewed
Be the first to review
Review was not posted due to profanity
×Product details
- Date Published: November 2004
- format: Mixed media product
- isbn: 9780898715668
- length: 184 pages
- dimensions: 253 x 178 x 15 mm
- weight: 0.522kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
Preface
1. Introductory probability concepts
2. Discrete probability distributions
3. Continuous probability distributions
4. Mathematical expectation
5. Limit theorems
6. Transition to statistics
7. Estimation theory
8. Hypothesis testing theory
9. Order statistics and quantiles
10. Two sample analysis
11. Permutation analysis
12. Bootstrap analysis
13. Multiple sample analysis
14. Linear least squares analysis
15. Contingency table analysis
Bibliography
Index.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org
Register Sign in» Proceed
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.
Continue ×Are you sure you want to delete your account?
This cannot be undone.
Thank you for your feedback which will help us improve our service.
If you requested a response, we will make sure to get back to you shortly.
×