An Introduction to Mathematical Statistics and Its Applications 5th Edition by Richard J. Larsen (Author), Morris L. Marx  (Author)

An Introduction to Mathematical Statistics and Its Applications 5th Edition by Richard J. Larsen (Author), Morris L. Marx  (Author)

ISBN-13: 9780321693945

ISBN-10: 0321693949

Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout the Fifth Edition, the authors have added and updated examples and case studies, while also refining existing features that show a clear path from theory to practice.

Preface

The first edition of this text was published in 1981. Each subsequent revision since

then has undergone more than a few changes. Topics have been added, computer

software and simulations introduced, and examples redone. What has not

changed over the years is our pedagogical focus. As the title indicates, this book

is an introduction to mathematical statistics and its applications. Those last three

words are not an afterthought. We continue to believe that mathematical statistics

is best learned and most effectively motivated when presented against a backdrop

of real-world examples and all the issues that those examples necessarily

raise.

We recognize that college students today have more mathematics courses to

choose from than ever before because of the new specialties and interdisciplinary

areas that continue to emerge. For students wanting a broad educational experience,

an introduction to a given topic may be all that their schedules can reasonably

accommodate. Our response to that reality has been to ensure that each edition of

this text provides a more comprehensive and more usable treatment of statistics

than did its predecessors.

Traditionally, the focus of mathematical statistics has been fairly narrow—the

subject’s objective has been to provide the theoretical foundation for all of the various

procedures that are used for describing and analyzing data. What it has not

spoken to at much length are the important questions of which procedure to use

in a given situation, and why. But those are precisely the concerns that every user

of statistics must inevitably confront. To that end, adding features that can create

a path from the theory of statistics to its practice has become an increasingly high

priority.