Asymptotic efficiency of nonparametric tests / Yakov Nikitin.
Nikitin, I︠A︡. I︠U︡. (I︠A︡kov I︠U︡rʹevich)| Call Number | 519.5/4 |
| Author | Nikitin, I︠A︡. I︠U︡. author. |
| Title | Asymptotic efficiency of nonparametric tests / Yakov Nikitin. |
| Physical Description | 1 online resource (xvi, 274 pages) : digital, PDF file(s). |
| Notes | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| Summary | Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics. Asymptotic efficiency is an indispensable technique for comparing and ordering statistical tests in large samples. It is especially useful in nonparametric statistics where it is usually necessary to rely on heuristic tests. This monograph presents a unified treatment of the analysis and calculation of the asymptotic efficiencies of nonparametric tests. Powerful new methods are developed to evaluate explicitly different kinds of efficiencies. Of particular interest is the description of domains of the Bahadur local optimality and related characterisation problems based on recent research by the author. Other Russian results are also published here for the first time in English. Researchers, professionals and students in statistics will find this book invaluable. |
| Subject | NONPARAMETRIC STATISTICS. ASYMPTOTIC EFFICIENCIES (STATISTICS) |
| Multimedia |
Total Ratings:
0
02163nam a22003618i 4500
001
vtls001584529
003
VRT
005
20200921121900.0
006
m|||||o||d||||||||
007
cr||||||||||||
008
200921s1995||||enk o ||1 0|eng|d
020
$a 9780511530081 (ebook)
020
$z 9780521470292 (hardback)
020
$z 9780521115926 (paperback)
035
$a (UkCbUP)CR9780511530081
039
9
$y 202009211219 $z santha
040
$a UkCbUP $b eng $e rda $c UkCbUP
050
0
0
$a QA278.8 $b .N55 1995
082
0
0
$a 519.5/4 $2 20
100
1
$a Nikitin, I︠A︡. I︠U︡. $q (I︠A︡kov I︠U︡rʹevich), $e author.
245
1
0
$a Asymptotic efficiency of nonparametric tests / $c Yakov Nikitin.
264
1
$a Cambridge : $b Cambridge University Press, $c 1995.
300
$a 1 online resource (xvi, 274 pages) : $b digital, PDF file(s).
336
$a text $b txt $2 rdacontent
337
$a computer $b c $2 rdamedia
338
$a online resource $b cr $2 rdacarrier
500
$a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520
$a Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics. Asymptotic efficiency is an indispensable technique for comparing and ordering statistical tests in large samples. It is especially useful in nonparametric statistics where it is usually necessary to rely on heuristic tests. This monograph presents a unified treatment of the analysis and calculation of the asymptotic efficiencies of nonparametric tests. Powerful new methods are developed to evaluate explicitly different kinds of efficiencies. Of particular interest is the description of domains of the Bahadur local optimality and related characterisation problems based on recent research by the author. Other Russian results are also published here for the first time in English. Researchers, professionals and students in statistics will find this book invaluable.
650
0
$a NONPARAMETRIC STATISTICS.
650
0
$a ASYMPTOTIC EFFICIENCIES (STATISTICS)
776
0
8
$i Print version: $z 9780521470292
856
4
0
$u https://doi.org/10.1017/CBO9780511530081
999
$a VIRTUA
No Reviews to Display
| Summary | Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics. Asymptotic efficiency is an indispensable technique for comparing and ordering statistical tests in large samples. It is especially useful in nonparametric statistics where it is usually necessary to rely on heuristic tests. This monograph presents a unified treatment of the analysis and calculation of the asymptotic efficiencies of nonparametric tests. Powerful new methods are developed to evaluate explicitly different kinds of efficiencies. Of particular interest is the description of domains of the Bahadur local optimality and related characterisation problems based on recent research by the author. Other Russian results are also published here for the first time in English. Researchers, professionals and students in statistics will find this book invaluable. |
| Notes | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| Subject | NONPARAMETRIC STATISTICS. ASYMPTOTIC EFFICIENCIES (STATISTICS) |
| Multimedia |