Skip to main content
Search form
Search
Advanced Search
SHOP
Audiobooks
Bulk Orders
Bundles & Subscriptions
Gift Cards
Pre-order Now!
W&CF Membership
W&CF Merch
RECOMMENDATIONS
Staff Picks
Abolition & Accountability
Astrology & Tarot
Black Lives Matter
Chicago Reads
Debut Fiction
Disability Justice
Essay & Memoir
Feminist Favorites
From the River to the Sea
Graphic Novels for Young Readers
Middle Grade & Young Adult
Picture Books
Poetry New Releases
Raising Rad Kids
Reproductive Justice
Romance We Love
Sustainability & the Climate Crisis
Trauma & Healing
EVENTS
Calendar
Offsite Event Sales
Proposal Form
Recordings
Storytime
BOOK GROUPS
Classics of Women's Literature
Family of Women
Feminist
Kids First
Social Justice
Well-Read Black Girl
Women Aging with Wisdom & Grace
Women's Book Group
COMMUNITY
Chicago Books to Women in Prison Wishlist
Local Organizations
School Partnerships
Support Chicago Public Schools
ABOUT
In the News
Mission & History
Safer Space Policy
Women's Voices Fund
FAQ
MY ACCOUNT
Home
Geometry and Statistics: Volume 46 (Handbook of Statistics #46) (Hardcover)
Geometry and Statistics: Volume 46 (Handbook of Statistics #46) (Hardcover)
Before placing an order, please note:
You'll receive a confirmation email once your order is complete and ready for pickup.
If you place a pre-order in the same order as currently available titles, an additional shipping fee will be added to your order.
Women & Children First is not responsible for lost or stolen packages.
By
Frank Nielsen
(Volume Editor),
Arni S. R. Srinivasa Rao
(Volume Editor),
C. R. Rao
(Volume Editor)
Unavailable from our sources
Description
Geometry and Statistics, Volume 46
in the
Handbook of Statistics
series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors.
Product Details
ISBN:
9780323913454
ISBN-10:
0323913458
Publisher:
Academic Press
Publication Date:
July 1st, 2022
Language:
English
Series:
Handbook of Statistics
Categories
Probability & Statistics - Stochastic Processes