This classic, calculus-based introduction to the theory and application of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the latest in statistical thinking and current practices. New to this edition is the addition of an applications section at the end of each chapter that deals with the theory presented. Further emphasis has been placed on the use of computers in performing statistical calculations. Topics covered include probability distributions and densities, random variables, sampling distributions, hypothesis testing, regression and correlation, variance, and more. An excellent reference work for professional statisticians in a variety of fields.
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This classic, calculus-based introduction to the theory and application of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the latest in statistical thinking and current practices. New to this edition is the addition of an applications section at the end of each chapter that deals with the theory presented. Further emphasis has been placed on the use of computers in performing statistical calculations. Topics covered include probability distributions and densities, random variables, sampling distributions, hypothesis testing, regression and correlation, variance, and more. An excellent reference work for professional statisticians in a variety of fields.
Excerpt. © Reprinted by permission. All rights reserved.
The seventh edition of John E. Freund's Mathematical Statistics, like the first six editions, is designed primarily for a two-semester or a three-quarter calculus-based introduction to the mathematics of statistics. It can used, however, for a single-semester course, emphasizing probability, probability distributions and densities, sampling, and classical statistical inference. For this purpose, the authors recommend that the course be based on Chapters 1-6, 8, 11, and 13. In addition, Sections 2.8, 4.8, 5.8, 5.9, 6.7, 8.7, and 13.8 may be omitted. In teaching this abbreviated course, the instructor may facilitate fitting the material into the time allotted by choosing several other sections to de-emphasize.
The major departure in this edition is the addition of a section at the end of each chapter, called "The Theory in Practice," and dealing in greater depth with some of the applications of the theory. The applied exercises in each chapter have been grouped together at the end of this new section. Subheadings have been supplied to indicate which exercises go with which section or sections to aid the instructor in assigning homework exercises.
Many students taking this course are experiencing the ideas of statistics for the first time. It is believed that it will be helpful for them to spend some time learning how the mathematical ideas of statistics carry over into the world of applications. To emphasize this new treatment, the authors have added "with Applications" to the title of the text. In addition, further emphasis has been placed on the use of computers in performing statistical calculations. Several new exercises have been added, many of which require the use of a computer. New material has been added to Chapter 15, placing additional emphasis on experimental design and factorial experiments.
We would like to express our appreciation to the Robert E. Krieger Publishing Company for permission to base Table II on E. C. Molina's Poisson's Exponential Binomial Limit; to Prentice Hall, Inc., for permission to reproduce part of Table IV from R. A. Johnson and D. W. Wichern's Applied Multivariate Statistical Analysis; to Professor E. S. Pearson and the Biometrica trustees to reproduce the material in Tables V and VI; to the editors of Biometrics for permission to reproduce the material in Table IX from H. L. Harter's "Critical Values for Duncan's New Multiple Range Test"; to the editors of Biometrics for permission to reproduce the material in Tables V and VI from H. L. Harter's "Critical Values for Duncan's New Multiple Range Test; to the American Cyanamid Company to reproduce the material in Table X from F. Wilcoxon and R. A. Wilcox's Some Rapid Approximate Statistical Procedures; to D. Auble to base Table XI on his "Extended Tables for the Mann-Whitney Statistics," Bulletin of the Institute of Educational Research at Indiana University; to the editor of the Annals of Mathematical Statistics to reproduce the material in Table XII; and to MINITAB to reproduce the computer printouts shown in the text.
The authors would especially like to express their appreciation to the reviewers of the manuscript, Johana Hardin of Pomona College, Christopher Lake of Rowan University, Jackie Miller of Drury University, and Larry Stephens of the University of Nebraska at Omaha, whose suggestions the authors found helpful in the preparation of this new edition. The authors also would like to thank the staff at Prentice Hall for their courteous cooperation in the production of this book.
Irwin Miller
Marylees Miller
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16 of 19 people found the following review helpful:
2.0 out of 5 stars
Avoid: Really,
By Alexy "Alexy" (USA) - See all my reviews
This review is from: John E. Freund's Mathematical Statistics with Applications (7th Edition) (Hardcover)
I have the 6th edition. I have used Probability and Statistics books from Ross, Hogg, Mendenhall, and Marx. I say this is the worst one because it has very little explanation and examples, but many unsolved exercises. Also, it is hard to follow. Here is a sentence and you be the judge:
"The exponential distribution applies not only to the occurrence of the first success in a Poisson process, which is what we call a situation like that described in Exercise 5.48, by the virtue of condition (iii) (see Exercise 6.16), it applies also to the waiting times between successes." So, if you don't mind jumping around in the book, maybe you would not mind it as much. I am not kidding; you have to go back and forth all the time! I was just reading it, put it down, and logged in here to write this. I like Mendenhall's "Mathematical Statistics with Applications" for quick and clear explanations (best as 1st book) Ross' "First Course in Probability" for deeper understanding. Hogg's "Probability and Statistical Inference" is my favorite. Marx' Mathematical Statistics is ok (not many examples), but far better than this book.
3 of 3 people found the following review helpful:
2.0 out of 5 stars
Not enough Pictures,
This review is from: John E. Freund's Mathematical Statistics with Applications (7th Edition) (Hardcover)
Yes, even at the collegiate level, pictures are needed. The example problems rarely drew the diagrams/pictures. Also many of the problems refer back to previous examples in different chapters. For example, a problem in Ch 7 has us take the information for a problem in chapter 3; without a corresponding page number. Also the lay out of book is very compact. I wish the authors did not squeeze so much information on one page. The could have used more space, showed much more algebra steps, and MORE DIAGRAMS.
2 of 2 people found the following review helpful:
1.0 out of 5 stars
Avoid,
By
This review is from: John E. Freund's Mathematical Statistics with Applications (7th Edition) (Hardcover)
I'm taking a course in statistics as an independent study using this book. It might have been better had I been taking a class with a professor helping me understand the problems, but trying to understand with just this book is next to impossible. The examples skip steps, which I suppose I am just suppose to know, with no explanation or note that there have been operations omitted. This is very confusing. I have been teaching math for 34 years and feel I can follow the flow of a problem, but I teach my students to include everything to make sure their work is understood. Even the examples that are worked out sometimes have little to do with the problems that you are asked to solve. All in all, I feel this book is not well written for someone trying to learn these processes.
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