9780412218002-0412218003-The Statistical Analysis of Series of Events (Monographs on Applied Probability and Statistics)

The Statistical Analysis of Series of Events (Monographs on Applied Probability and Statistics)

ISBN-13: 9780412218002
ISBN-10: 0412218003
Edition: First Edition
Author: David R. Cox
Publication date: 1966
Publisher: Springer
Format: Hardcover 296 pages
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Book details

ISBN-13: 9780412218002
ISBN-10: 0412218003
Edition: First Edition
Author: David R. Cox
Publication date: 1966
Publisher: Springer
Format: Hardcover 296 pages

Summary

The Statistical Analysis of Series of Events (Monographs on Applied Probability and Statistics) (ISBN-13: 9780412218002 and ISBN-10: 0412218003), written by authors David R. Cox, was published by Springer in 1966. With an overall rating of 4.2 stars, it's a notable title among other books. You can easily purchase or rent The Statistical Analysis of Series of Events (Monographs on Applied Probability and Statistics) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.37.

Description

Observations in the form of point events occurring in a continuum, space or time, arise in many fields of study. In writing this monograph on statistical techniques for dealing with such data, we have three objectives. First, we have tried to give a simple description, with numerical examples, of the main methods that have been proposed. We hope that by concentrating on the examples the applied statistician with a limited inclination for theory will find something of practical value in the monograph. Second, the monograph is intended as a survey, necessarily incomplete, of some of the problems in theoretical statistics that stem from this sort of data. A number of specialized subjects have, however, been dealt with only briefly, the main emphasis being placed on the problem of examining the structure of a series of events. Finally, we hope that the monograph will be of use to teachers and students of statistics, as illustrating applications of a range of tech niques in theoretical statistics. We are extremely grateful to the International Business Machines Corporation for providing programming assistance and a large amount of computer time. We wish to thank particularly Mr A.

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