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Non-Regular Statistical Estimation
Akahira, Masafumi; Takeuchi, Kei
€ 65.94
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Description for Non-Regular Statistical Estimation
Paperback. In this monograph, the authors present a systematic study of the meaning and implications of regularity conditions, and show how the relaxation of such conditions can often lead to surprising conclusions. Series: Lecture Notes in Statistics. Num Pages: 196 pages, biography. BIC Classification: KCHS; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 10. Weight in Grams: 305.
In order to obtain many of the classical results in the theory of statistical estimation, it is usual to impose regularity conditions on the distributions under consideration. In small sample and large sample theories of estimation there are well established sets of regularity conditions, and it is worth while to examine what may follow if any one of these regularity conditions fail to hold. "Non-regular estimation" literally means the theory of statistical estimation when some or other of the regularity conditions fail to hold. In this monograph, the authors present a systematic study of the meaning and implications of regularity ... Read more
In order to obtain many of the classical results in the theory of statistical estimation, it is usual to impose regularity conditions on the distributions under consideration. In small sample and large sample theories of estimation there are well established sets of regularity conditions, and it is worth while to examine what may follow if any one of these regularity conditions fail to hold. "Non-regular estimation" literally means the theory of statistical estimation when some or other of the regularity conditions fail to hold. In this monograph, the authors present a systematic study of the meaning and implications of regularity ... Read more
Product Details
Format
Paperback
Publication date
1995
Publisher
Springer-Verlag New York Inc. United States
Number of pages
196
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
188
Place of Publication
New York, NY, United States
ISBN
9780387945781
SKU
V9780387945781
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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