The precision of methods using the statistics of extremes for the estimation of the maximum size of inclusions in clean steels
โ Scribed by C.W Anderson; G Shi; H.V Atkinson; C.M Sellars
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 386 KB
- Volume
- 48
- Category
- Article
- ISSN
- 1359-6454
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In this paper, we consider the problem of approximating the location, x 0 # C, of a maximum of a regresion function, %(x), under certain weak assumptions on %. Here C is a bounded interval in R. A specific algorithm considered in this paper is as follows. Taking a random sample X 1 , ..., X n from
The present study evaluates the precision of outlying percentile estimates, with age-and sex-associated variations and facilitates decisions needed to revise the current NCHS 1977 Growth Charts with regard to 1) the inclusion of 3 rd and 97 th percentiles and 2) the selection of survey data for the
research In The Statistical Analysis Of Extreme Values Has Flourished Over The Past Decade: New Probability Models, Inference And Data Analysis Techniques Have Been Introduced; And New Application Areas Have Been Explored. *statistics Of Extremes* Comprehensively Covers A Wide Range Of Models And Ap