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Parametric and Nonparametric Inference from Record-Breaking Data
Gulati, Sneh; Padgett, W. J.
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Description for Parametric and Nonparametric Inference from Record-Breaking Data
Paperback. Looking at statistical inference from data in both parametric and nonparametric settings, this book treats the area of nonparametric function estimation from such data. It is suitable for statisticians, mathematicians, and engineers. Series: Lecture Notes in Statistics. Num Pages: 125 pages, 2 black & white illustrations, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 7. Weight in Grams: 196.
As statisticians, we are constantly trying to make inferences about the underlying population from which data are observed. This includes estimation and prediction about the underlying population parameters from both complete and incomplete data. Recently, methodology for estimation and prediction from incomplete data has been found useful for what is known as "record-breaking data," that is, data generated from setting new records. There has long been a keen interest in observing all kinds of records-in particular, sports records, financial records, flood records, and daily temperature records, to mention a few. The well-known Guinness Book of World Records is full of ... Read more
As statisticians, we are constantly trying to make inferences about the underlying population from which data are observed. This includes estimation and prediction about the underlying population parameters from both complete and incomplete data. Recently, methodology for estimation and prediction from incomplete data has been found useful for what is known as "record-breaking data," that is, data generated from setting new records. There has long been a keen interest in observing all kinds of records-in particular, sports records, financial records, flood records, and daily temperature records, to mention a few. The well-known Guinness Book of World Records is full of ... Read more
Product Details
Format
Paperback
Publication date
2003
Publisher
Springer-Verlag New York Inc. United States
Number of pages
125
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
117
Place of Publication
New York, NY, United States
ISBN
9780387001388
SKU
V9780387001388
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Parametric and Nonparametric Inference from Record-Breaking Data
New record values in sports, finances, climate, ... are of interest to most people, and for about half a century, probabilists and statisticians have taken up the challenge of modelling their behaviour. The present monograph provides results on statistical inference problems for record-breaking data. For example: how to fit a parametric or nonparametric model to such data? Or also: how ... Read more