.png){kind=logo}
31%OFF
Stock image for illustration purposes only - book cover, edition or condition may vary.
Robust and Non-Robust Models in Statistics
Lev B. Klebanov
€ 120.77
€ 83.64
FREE Delivery in Ireland
Description for Robust and Non-Robust Models in Statistics
Hardcover. Num Pages: 317 pages, tables & charts. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 265 x 186 x 26. Weight in Grams: 804.
In this book the authors consider so-called ill-posed problems and stability in statistics. Ill-posed problems are certain results where arbitrary small changes in the assumptions lead to unpredictable large changes in the conclusions. In a companion problem published by Nova, the authors explain that ill-posed problems are not a mere curiosity in the field of contemporary probability. The same situation holds in statistics. The objective of the authors of this book is to (1)identify statistical problems of this type, (2) find their stable variant, and (3)propose alternative versions of numerous theorems in mathematical statistics. The layout of the book is ... Read more
In this book the authors consider so-called ill-posed problems and stability in statistics. Ill-posed problems are certain results where arbitrary small changes in the assumptions lead to unpredictable large changes in the conclusions. In a companion problem published by Nova, the authors explain that ill-posed problems are not a mere curiosity in the field of contemporary probability. The same situation holds in statistics. The objective of the authors of this book is to (1)identify statistical problems of this type, (2) find their stable variant, and (3)propose alternative versions of numerous theorems in mathematical statistics. The layout of the book is ... Read more
Product Details
Publisher
Nova Science Publishers Inc United States
Number of pages
317
Format
Hardback
Publication date
2009
Condition
New
Weight
803g
Number of Pages
317
Place of Publication
New York, United States
ISBN
9781607417682
SKU
V9781607417682
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-2
Reviews for Robust and Non-Robust Models in Statistics