Mathematical Statistics with Applications by Wackerly, Mendenhall and Scheaffer
Mathematical Statistics with Applications is a textbook that covers the topics of mathematical statistics in a clear and comprehensive way. The authors, Dennis D. Wackerly, William Mendenhall and Richard L. Scheaffer, are well-known experts in the field of statistics and have written several other books on the subject. The book is intended for students who have a background in calculus and linear algebra, and who want to learn the theory and methods of statistical inference and data analysis.
The book has two main parts: Part I covers the basic concepts and tools of probability and distribution theory, such as random variables, probability distributions, expectation, variance, moment generating functions, transformations, sampling distributions and the central limit theorem. Part II covers the methods of statistical inference, such as point estimation, confidence intervals, hypothesis testing, analysis of variance, regression, correlation, nonparametric methods and Bayesian methods. The book also includes many examples, exercises and applications from various fields of science and engineering.
The book is available in both print and digital formats. The print version has 912 pages and was published by Thomson Brooks/Cole in 2007[^1^]. The digital version can be downloaded for free from the Internet Archive[^1^] [^2^], but it is in a compressed file format (rar) that requires a special software to extract. The digital version has 853 pages and was published by Duxbury in 2001[^2^] [^3^]. Both versions have the same content and structure, but the digital version has some minor differences in formatting and pagination.Reviews and Feedback
Mathematical Statistics with Applications has received mostly positive reviews from readers and students who have used it as a textbook or a reference book. On Goodreads, the book has an average rating of 3.70 out of 5 stars, based on 148 ratings and 14 reviews. Many reviewers praised the book for its clarity, rigor, depth and breadth of coverage, and its numerous examples and exercises. Some reviewers also appreciated the authors' use of humor and anecdotes to make the book more engaging and enjoyable.
However, some reviewers also pointed out some drawbacks and limitations of the book. Some common complaints were that the book is too expensive, too long, too dense, too theoretical, too abstract, or too difficult to follow. Some reviewers also wished that the book had more worked-out solutions, more real-world applications, more graphical illustrations, or more intuitive explanations. Some reviewers also noted that the book has some errors, typos, or inconsistencies in notation or terminology.
On Amazon, the book has an average rating of 4.3 out of 5 stars, based on 150 ratings and 63 reviews. The majority of reviewers gave the book 5 stars (62%) or 4 stars (15%), while a minority gave it 3 stars (10%), 2 stars (5%), or 1 star (7%). The positive and negative feedback were similar to those on Goodreads, with some reviewers emphasizing the importance of having a strong mathematical background and a good instructor to benefit from the book.
On Google Books, the book has an average rating of 4 out of 5 stars, based on 2 ratings and no reviews. The ratings were both 4 stars, but no comments were provided. aa16f39245