A RANDOM-SIZE SUBSET APPROACH TO THE SELECTION PROBLEM

被引：2

作者：

LIU, W ^{[1
]}

机构：

[1] UNIV SOUTHAMPTON,DEPT MATH,SOUTHAMPTON SO17 1BJ,HANTS,ENGLAND

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 1995年 / 48卷 / 02期

关键词：

SUBSET SELECTION; INDIFFERENCE ZONE; MONOTONE LIKELIHOOD RATIO;

D O I：

10.1016/0378-3758(94)00149-P

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The problem considered is to select the best population from among a finite number of populations. A new approach is proposed which is to select a random-size subset of populations that will contain the best population with a preassigned probability. This new approach is intuitively natural and needs no tables. For illustration, it is applied to four specific problems: the normal distribution with the largest mean, the normal distribution with the largest absolute value of mean, the Bernoulli distribution with the largest success probability, and the coin with the largest bias.

引用

页码：153 / 164

页数：12

共 50 条

[1] A FIXED SUBSET-SIZE APPROACH TO SELECTION PROBLEM
DESU, MM
SOBEL, M
BIOMETRIKA, 1968, 55 (02) : 401 - &
[2] On Risks of Estimates Based on Random-Size Samples
V. E. Bening
Moscow University Computational Mathematics and Cybernetics, 2020, 44 (1) : 16 - 26
[3] On the approximation accuracy for quantiles in a random-size sample
Pagurova V.I.
Moscow University Computational Mathematics and Cybernetics, 2008, 32 (4) : 214 - 221
[4] Evolution of the random subset feature selection algorithm for classification problem
SabbaghGol, Hamed
Saadatfar, Hamid
Khazaiepoor, Mahdi
KNOWLEDGE-BASED SYSTEMS, 2024, 285
[5] Parallel random search and tabu search for the minimal consistent subset selection problem
Cerverón, V
Fuertes, A
RANDOMIZATION AND APPROXIMATION TECHNIQUES IN COMPUTER SCIENCE, 1998, 1518 : 248 - 259
[6] MINIMAX SUBSET SELECTION FOR LOSS MEASURED BY SUBSET SIZE
BERGER, RL
ANNALS OF STATISTICS, 1979, 7 (06): : 1333 - 1338
[7] The minimum feature subset selection problem
Bin Chen
Jiarong Hong
Yadong Wang
Journal of Computer Science and Technology, 1997, 12 (2) : 145 - 153
[8] ON THE GENERAL POSITION SUBSET SELECTION PROBLEM
Payne, Michael S.
Wood, David R.
SIAM JOURNAL ON DISCRETE MATHEMATICS, 2013, 27 (04) : 1727 - 1733
[9] The Minimum Feature Subset Selection Problem
陈彬
洪家荣
王亚东
JournalofComputerScienceandTechnology, 1997, (02) : 145 - 153
[10] A sparse solution to the bounded subset selection problem: A network flow model approach
Alghoniemy, M
Tewfik, AH
2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL V, PROCEEDINGS: DESIGN AND IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS INDUSTRY TECHNOLOGY TRACKS MACHINE LEARNING FOR SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING SIGNAL PROCESSING FOR EDUCATION, 2004, : 89 - 92

← 1 2 3 4 5 →