Richard J. Larsen, Vanderbilt University
Morris L. Marx, University of West Florida, University of West Florida
©2018 |Pearson | Available
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For courses in Mathematical Statistics
Introducing the principles of statistics and data modeling
Introduction to Mathematical Statistics and Its Applications , 6th Edition is a high-level calculus student’s first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models.About the Book
Provide students with the skills and insights necessary for application
NEW! 18 new Case Studies have been added throughout the edition.
Presents mathematical statistics as a subject students can encounter in the real world, with vivid case studies and applicable examples.
Integrated review of calculus weaves in a topic students are familiar with while reinforcing related principles.
At-home exercises help students practice the application of principles taught in class.
NEW! Downloadable chapter on variance analysis as it applies to factorial data, which touches on crucial topics such as two-factor factorials, three-factor factorials, 2n designs, and fractional factorials on a high level.
About the Book
A downloadable chapter on variance analysis as it applies to factorial data has been added. It touches crucial topics such as two-factor factorials, three-factor factorials, 2n designs, and fractional factorials, at a high level.
Added 18 new Case Studies throughout the edition.
Content Updates
Chapter 2 contains ten new examples, including a repeated-independent-trials analysis of the often-quoted “Caesar’s last breath” problem.
Chapter 4, an Appendix has been added which summarizes important properties of the most frequently used pdfs.
Chapter 5, section 5.2 on parameter estimation has been rewritten; the margin of error portion of Section 5.3 has been completely redone.
Chapter 7 includes seven new Case Studies.
Chapter 8 has Expanded discussions of the different data models, with a completely new model on factorial data.
Chapter 11, section on nonlinear models has been revised to emphasize their relationship to different laws of growth.
Introduction
Probability
Random Variables
Special Distributions
Estimation
Hypothesis Testing
Inferences Based on the Normal Distribution
Types of Data: A Brief Overview
Two-Sample Inferences
Goodness-of-Fit Tests
Regression
The Analysis of Variance
Randomized Block Designs
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Larsen & Marx
©2018 | Pearson
| Format | Electronic Book | |
| ISBN-13: | 9780137549375 | |
| Online purchase price | $39.96 | Students, buy or rent this eText |
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Larsen & Marx
©2018 | Pearson | 752 pp
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