What do you think?
Rate this book
Mathematical Statistics with Applications
Many students who do well in mathematics courses find it difficult to understand the concept of statistics. Mathematical Statistics and Its Applications is unique in that it presents the material with well-defined step by step procedures to solve real problems. This helps the students to approach problem solving in statistics in a logical manner.
This textbook provides a calculus based coverage of statistics and introduces students to methods of theoretrical statistics and their applications. It assumes no prior knowledge of statistics or probability theory but does require calculus. Most books at this level are written with eleaborate coverage of probability. This creates a problem for non statistics majors from various diciplines, who want to obtain a sound background in mathematical statstics and applications. The authors introduce the basic concepts of statistics with sound theoretical explanations. As statistics is basically an interdisciplinary applied subject, many applied examples and relevant exercises from different areas.
The book introduces many modern statistical computational and simulation concepts that are not covered in other texts; such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo methods such as the Metropolis algorithm, Metropolis-Hastings algorthm and the Gibbs sampler.
▪ Step-by-step procedure to solve real problems, making the topic more accessible
▪ Exercises blend theory and modern applications
▪ Practical, real-world chapter projects
▪ Provides an optional section in each chapter on using Minitab, SPSS and SAS commands
▪ Student solutions manual, instructors manual and data disk available
This textbook provides a calculus based coverage of statistics and introduces students to methods of theoretrical statistics and their applications. It assumes no prior knowledge of statistics or probability theory but does require calculus. Most books at this level are written with eleaborate coverage of probability. This creates a problem for non statistics majors from various diciplines, who want to obtain a sound background in mathematical statstics and applications. The authors introduce the basic concepts of statistics with sound theoretical explanations. As statistics is basically an interdisciplinary applied subject, many applied examples and relevant exercises from different areas.
The book introduces many modern statistical computational and simulation concepts that are not covered in other texts; such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo methods such as the Metropolis algorithm, Metropolis-Hastings algorthm and the Gibbs sampler.
▪ Step-by-step procedure to solve real problems, making the topic more accessible
▪ Exercises blend theory and modern applications
▪ Practical, real-world chapter projects
▪ Provides an optional section in each chapter on using Minitab, SPSS and SAS commands
▪ Student solutions manual, instructors manual and data disk available
848 pages, Kindle Edition
First published March 2, 2009
5 people are currently reading
43 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 2 of 2 reviews
September 30, 2019
am not able to read
October 7, 2013
This is an essentially worthless textbook with many errors (there is an Amazon review that details them thoroughly). Even if it were correct, it is unneccessarily complicated and difficult to follow.
Displaying 1 - 2 of 2 reviews