Author: Thomas S. Ferguson
Edition: 1
Publisher: Chapman and Hall/CRC
Binding: Paperback
ISBN: 0412043718
A Course in Large Sample Theory (Chapman & Hall/CRC Texts in Statistical Science)
A Course in Large Sample Theory is presented in four parts. Medical books A Course in Large Sample Theory . The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting.
The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields Medical books A Course In Large Sample Theory Ferguson, Thomas S. (author). author thomas shelburne ferguson format paperback language english publication year 01 07 1996 series chapman hall texts in statistical science subject mathematics sciences subject 2 mathematics title a course in large sample theory author ferguson thomas s author publisher chapman hall publication date jul 01 1996 pages 256 binding paperback edition 1 st dimensions 6 25 wx 9 50 hx 0 50 d isbn 0412043718 subject mathematics probability statistics general brand new paperback all orders get full
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author thomas shelburne ferguson format paperback language english publication year 01 07 1996 series chapman hall texts in statistical science subject mathematics sciences subject 2 mathematics title a course in large sample theory author ferguson thomas s author publisher chapman hall publication date jul 01 1996 pages 256 binding paperback edition 1 st dimensions 6 25 wx 9 50 hx 0 50 d isbn 0412043718 subject mathematics probability statistics general brand new paperback all orders get full
Store Search search Title, ISBN and Author A Course in Large Sample Theory by Thomas S. Ferguson Estimated delivery 3-12 business days Format Paperback Condition Brand New Part of the Texts in Statistical Science series, this book is a graduate text on large sample theory in statistics that covers nearly all topics in their multivariate settings. The book includes a wealth of examples and contains the essentials of statistical theory required for statistics Ph.D. students. Publisher Description
Powered by Frooition Pro Click here to view full size. Full Size Image Click to close full size. A Course in Large Sample Theory - Book NEW Author(s): Thomas S. Ferguson Format: Paperback # Pages: 245 ISBN-13: 9780412043710 Published: 07/01/1996 Language: English Weight: 0.85 pounds Brand new book. About Us Payment Shipping Customer Service FAQs Welcome to MovieMars All items are Brand New. We offer unbeatable prices, quick shipping times and a wide selection second to none. Purchases come with
Presented in four parts, this book provides a complete picture of genome statistics. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting. The book is ideal for a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout
Medical Book A Course in Large Sample Theory
The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting.
The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout the book there are many examples and exercises with solutions. It is an ideal text for self study.
