Scan statistics

Scan statistics

by Joseph Glaz, Sylvan Wallenstein, Joseph Naus

Browse books you can read free on Readfeed

No club is reading this yet — be the first to start one

Start a club free
About
In many statistical applications the scientists have to analyze the occurrence of observed clusters of events in time or space. The scientists are especially interested to determine whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Applications of scan statistics have been recorded in many areas of science and technology including: geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics.

Discuss Scan statistics with other readers

Join or start a book club for Scan statistics on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.

Frequently asked questions

How do I join a book club for Scan statistics?

Sign up free on Readfeed, then browse public clubs or start your own club with Scan statistics as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.

Can I discuss Scan statistics with other readers online?

Yes. Readfeed book clubs let you chat live, share progress, and join discussions about Scan statistics with readers worldwide — whether your club is virtual, in-person, or hybrid.

Is Readfeed free?

Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.