A Course in Large Sample Theory

TRAMA

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.

NOTE EDITORE

A Course in Large Sample Theory is presented in four parts. 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.

SOMMARIO

Basic probability. Basic Statistical Large Sample Theory. Special Topics. Efficient Estimation and Testing. Reference. Index

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9780412043710
• Collana: Chapman & Hall/CRC Texts in Statistical Science
• Dimensioni: 9 x 6 in Ø 0.85 lb
• Formato: Brossura
• Pagine Arabe: 256